Projektledare för AI - Lediga jobb

Vill du arbeta med integration på riktigt, från klassiska systemkopplingar till moderna, eventdrivna lösningar? Vill du dessutom ha stort ansvar, påverka teknikval och arbeta i en miljö där kvalitet går före volym?

Nu söker vi en senior integrationskonsult till ett växande specialistbolag inom integration, BI och AI.

Om rollen

Som senior integrationskonsult arbetar du end-to-end med integrationslösningar, från design till implementation och drift. Du blir en nyckelperson i uppdrag där du både bygger lösningar och fungerar som rådgivare mot kund.

Rollen är bred och affärsnära, där du har stort ansvar och möjlighet att påverka både tekniska beslut och arbetssätt.

Arbetsuppgifter

I rollen kommer du bland annat att:

• Design och utveckling av integrationslösningar

• Arbeta med API:er, meddelandeköer och filbaserade integrationer

• Bygga integrationsflöden i exempelvis Azure Integration Services

• Säkerställa robusta lösningar

• Rådgivning kring integrationsarkitektur och tekniska vägval

Vem vi söker

Vi söker dig som är en senior integrationskonsult med djup teknisk förståelse och erfarenhet av att designa, utveckla och driva integrationslösningar från start till mål.

• Har minst 5 års erfarenhet inom integration / systemintegration

• Har arbetat med integration mellan affärssystem

• Har stark teknisk förståelse (t.ex. REST, JSON, XML)

• Erfarenhet av CI/CD

• Är van att felsöka, arbeta med loggning och hantera driftfrågor

Meriterande

• Erfarenhet av Azure (Logic Apps, Service Bus, API Management, Functions)

• Erfarenhet av traditionella integrationsplattformar (t.ex. BizTalk)

• Erfarenhet av eventdriven arkitektur

• Kunskap inom säkerhet (OAuth2, certifikat, autentisering)

• Erfarenhet av kravarbete och kunddialog

För att lyckas i rollen tror vi att du är: Det som verkligen avgör i denna roll är att du:

Är självgående, ansvarstagande, kommunikativ och trygg i kunddialog. Vi tror att du är van att ta ägandeskap över hela leveransen. Som person är du lösningsorienterad med ett affärsmässigt driv.

Om företaget

Företaget är ett mindre specialistbolag med stark kompetens inom BI och dataplattformar. Här får du stor frihet och möjlighet att påverka ditt arbete. De arbetar med långa och stabila kunduppdrag i en kultur präglad av tillit, ödmjukhet och samarbete.

Ansökan

A-hub ansvarar för rekryteringsprocessen och samarbetar nära med vår kund i denna tillsättning. Har du frågor om rollen är du varmt välkommen att kontakta oss.

Vi arbetar löpande med urval, så skicka gärna in din ansökan så snart som möjligt.

På uppdrag av vår kund söker vi nu en Data Engineer som vill vara med och bygga framtidens dataplattformar hos några av Sveriges mest spännande företag och organisationer. Här får du möjlighet att arbeta med moderna teknologier inom Microsofts dataekosystem och bidra till lösningar som skapar affärsvärde, stärker verksamheter och förbättrar människors vardag.

Om verksamheten Vår kund erbjuder en miljö där teknik, innovation och kompetensutveckling står i centrum. Här arbetar erfarna specialister tillsammans för att lösa komplexa utmaningar och skapa långsiktigt värde genom moderna data- och analyslösningar.

Kulturen präglas av kunskapsdelning, samarbete och ett starkt fokus på personlig utveckling. Du får möjlighet att arbeta med moderna teknologier, utveckla din kompetens och bidra till projekt som gör verklig skillnad för verksamheter och användare.

Ditt framtida team Du blir en del av ett team med hög teknisk kompetens inom data engineering, analytics och dataplattformar. Teamet arbetar nära både tekniska och verksamhetsnära intressenter för att designa och implementera skalbara lösningar som möter dagens och morgondagens behov.

Arbetet sker i nära samarbete med andra specialister där erfarenhetsutbyte, problemlösning och kontinuerligt lärande är en naturlig del av vardagen.

Om rollen Som Data Engineer kommer du att ha en central roll i utvecklingen av moderna dataplattformar och dataflöden. Du arbetar med att designa, bygga och optimera lösningar som möjliggör effektiv hantering, bearbetning och analys av stora datamängder.

Exempel på arbetsuppgifter:

• Utveckla och vidareutveckla moderna dataplattformar i molnbaserade miljöer.

• Bygga och optimera data pipelines för insamling, transformation och lagring av data.

• Delta i migrering och modernisering av befintliga datalösningar.

• Implementera datamodeller och arkitekturprinciper för skalbara lösningar.

• Säkerställa datakvalitet, prestanda och långsiktig förvaltning.

• Samarbeta med utvecklare, analytiker, arkitekter och verksamhetsrepresentanter för att skapa affärsvärde genom data.

• Bidra till teknisk utveckling och kunskapsdelning inom teamet.

Din profil Vi söker dig som har ett starkt intresse för data, teknik och problemlösning och som trivs med att arbeta i komplexa tekniska miljöer.

För att lyckas i rollen tror vi att du har:

• Flera års erfarenhet som Data Engineer eller i en liknande roll.

• Mycket goda kunskaper i SQL.

• Erfarenhet av moderna dataplattformar och molnbaserade datalösningar.

• Erfarenhet av Microsoft Fabric, Azure Synapse eller Azure Databricks.

• Erfarenhet av notebooks och data pipelines.

• Erfarenhet av datamodellering och arkitektur för analys- och dataplattformar.

• Flytande kunskaper i svenska och engelska, både i tal och skrift.

Det är meriterande om du har erfarenhet av:

• Power BI och semantiska modeller.

• Python.

• DevOps, Git och CI/CD-processer.

• Data Warehouse-lösningar.

• Kimball-modellering.

• AI-, Machine Learning- eller Data Science-relaterade initiativ.

Som person är du analytisk, nyfiken och lösningsorienterad. Du trivs i samarbeten, tar ansvar för ditt arbete och drivs av att skapa hållbara och värdeskapande lösningar.

Välkommen med din ansökan! Vi ser fram emot att höra från dig och berätta mer om möjligheten att bli en del av en organisation där teknik, kompetensutveckling och innovation står i centrum.

Rekryteringen genomförs av Ed Group. Har du frågor kring rollen eller processen är du varmt välkommen att kontakta tyra.nguyen@edzagroup.se.

Build modern data platforms with Databricks at the center

Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution.

About the role as a Databricks Specialist at Knowit

In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform.

You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities.

Your main responsibilities will include:

• Designing and developing scalable data platforms based on Databricks and Lakehouse architecture

• Building, optimizing, and orchestrating data pipelines using Python and PySpark

• Working with data governance and management through Unity Catalog

• Integrating data with BI, AI, and ML solutions to create real business value

• Supporting clients in establishing secure, robust, and future-proof data engineering solutions

Our tech stack / tools and ways of working

• Data platform: Databricks

• Programming: Python, PySpark

• Cloud platforms: Azure, AWS, and Google Cloud

• Data architecture: Lakehouse, modern data platforms

• AI & Analytics: integrations with BI, AI, and machine learning

We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills.

Who are we looking for?

We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem.

As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus.

Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it.

Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds.

A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits.

And now, we are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn.

Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications.

In this role, you’ll also

• Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform

• Write and maintain basic SQL transformations, data models, and data quality checks

• Help structure and document data models, metrics, and business definitions

• Support the development of the semantic layer in Omni

• Investigate data issues and help ensure data is accurate, reliable, and easy to use

Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions.

Furthermore, we believe you have:

• A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field

• Some knowledge of SQL

• Basic programming experience, preferably in Python

• An interest in databases, data modeling, analytics, and modern data platforms

• Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions

You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn.

• School projects, internships, thesis work, or personal projects involving data

• Data modeling concepts such as facts, dimensions, entities, relationships, or star schema

• Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar

• Git or other version control tools

• BI tools such as Looker, Tableau, Power BI, or simila

The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office!

We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day.

Your next story starts here 💫 We look forward to your application. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, erika.thorslund@nextory.com.

Please note that we do not offer relocation and that a six-month probationary period applies.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it.

Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds.

A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits.

And now, we are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn.

Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications.

In this role, you’ll also

• Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform

• Write and maintain basic SQL transformations, data models, and data quality checks

• Help structure and document data models, metrics, and business definitions

• Support the development of the semantic layer in Omni

• Investigate data issues and help ensure data is accurate, reliable, and easy to use

Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions.

Furthermore, we believe you have:

• A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field

• Some knowledge of SQL

• Basic programming experience, preferably in Python

• An interest in databases, data modeling, analytics, and modern data platforms

• Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions

You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn.

• School projects, internships, thesis work, or personal projects involving data

• Data modeling concepts such as facts, dimensions, entities, relationships, or star schema

• Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar

• Git or other version control tools

• BI tools such as Looker, Tableau, Power BI, or simila

The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office!

We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day.

Your next story starts here 💫 We look forward to your application. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, erika.thorslund@nextory.com.

Please note that we do not offer relocation and that a six-month probationary period applies.

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.  

We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Stockholm office – are you ready to hit play on an exciting career change? 

The Ad Platform Solutions team sits within Viaplay Digital Ad Product, bridging commercial priorities and technical delivery in Viaplay. You will be joining a small, growing team where your work connects directly to how the sales organisation operates every day.

As our new Data Engineer, you will play a central role in developing and improving the data infrastructure that powers ad sales across all Viaplay markets. We’ve built a solid foundation that supports our operations today, and we’re now looking for someone to take ownership of it - improving and strengthening what’s already in place, while also influencing architecture and shaping how the platform evolves.

This is a hands-on engineering role. In a small team, you will work across the full data lifecycle - from pipeline development and orchestration to data modelling, ensuring the right data reaches the right people. Your day-to-day will include:

• Building and maintaining data pipelines that power ad sales reporting and operations across Sweden, Norway, and Denmark

• Structuring and modelling data so it is clean, consistent, and genuinely useful to the business

• Identifying and resolving issues in existing pipelines, reducing manual work and improving reliability

• Translating needs from stakeholders into solid technical solutions

• Contributing to architectural decisions as the platform evolves

We actively use AI-assisted tools as part of our development workflow to improve efficiency and speed up delivery. We expect engineers to use these tools effectively, while critically evaluating outputs and maintaining full ownership of the systems they build.

We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following: 

• Solid, production-level data engineering experience - you have done this before and know what good looks like

• Strong skills in Python and/or C#, with confident SQL and hands-on database experience, relational databases such as SQL Server and PostgreSQL.

• Experience working with cloud-based data platforms, particularly in Azure environments.

• Experience building and maintaining data pipelines using orchestration tools (such as Airflow or Meltano), along with a solid understanding of data warehouse principles (e.g. dimensional modelling, data quality, and performance optimisation)

• Experience using AI-assisted coding tools (e.g. GitHub Copilot, Claude) in a development workflow

• Comfortable working autonomously in a small team, with a strong sense of ownership and the ability to drive work forward without much hand-holding

It’s a bonus if you have: 

• Experience with ad sales, digital advertising data, or media industry systems

• A can-do attitude, sense of humor and the ability to work humbly with others.

We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift. Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance. A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development.

Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including series & viewing events, new release movie rentals, linear channels and more.

If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position. 

Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away. 

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen.

If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow.

At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you.

Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life.

What you’ll do

We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the best data solutions are created close to the business, by teams who understand both the context and the technology. We are now looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You will be part of a cross-functional team where business experts, analysts, and developers collaborate closely.

Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices. You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities, and ensuring progress on key initiatives.

Responsibilities:

• Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions
• Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions
• Help structure and expose data so it is consistent, understandable, and reusable across domains · Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns
• Enable self-service use of data by making it accessible and usable beyond engineering teams
• Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability
• Define and promote best practices for data quality, testing, documentation, and access control
• Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products
• Support and coach colleagues in modern data engineering practices

What you’ll bring

You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed — and how those designs need to evolve as technology and business needs change.

We believe you bring many of the following:

• Several years of experience in data engineering or modern data platform development
• Experience building end-to-end data solutions (ingestion, storage, transformation, consumption)
• Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities
• Strong SQL skills and experience modeling data for analytical use
• Experience with cloud-based data platforms and infrastructure-as-code
• Knowledge of engineering practices such as CI/CD, testing, and code review
• Ability to make sound technical decisions without being tied to specific tools or vendors
• Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance
• Experience working closely with business stakeholders, analysts, or operational teams
• Strong communication skills and ability to explain technical solutions clearly

Nice to have:

• Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization

Benefits at Stegra

At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive.

Here’s what makes this role unique:

• Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem.
• Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration.
• Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital solutions create real value in their day-to-day operations.

This is Stegra

Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat.

By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future.

Our Stockholm Office

Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here, you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and amenities.

What will you do?

As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions.

This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives.

If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk.

Areas of ownership:

• Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform

• Integrate data from a wide range of business and product systems

• Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools

• Develop robust monitoring, alerting, and observability practices to ensure platform reliability

• Troubleshoot, optimize, and continuously improve data workflows and platform performance

• Design and implement scalable ELT workflows using modern data engineering practices

• Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting

• Implement automated testing and quality controls throughout the data lifecycle

• Ensure data is accurate, accessible, and trusted across the organization

• Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions

• Help translate complex business challenges into scalable data products and datasets

• Support decision-making by making data easier to discover, understand, and use

• Evaluate emerging technologies, frameworks, and industry best practices

• Run proof-of-concepts and contribute to strategic technology decisions

• Help define the future architecture of Rebtel's data platform

• Continuously improve engineering standards, tooling, and developer experience

Requirements:

• You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office

• 3+ years of experience in Data Engineering or a similar role

• Strong SQL skills and experience building production-grade data pipelines

• Experience with modern ELT methodologies and data warehousing concepts

• Experience integrating data from multiple systems and sources

• Experience with dbt, Python, AWS, or similar cloud-based data platforms

• Strong understanding of data modeling and analytics engineering best practices

• Ability to operate independently and take ownership of technical solutions

• Experience working in fast-growing technology or digital product companies is a plus

• It's a bonus if you've been exposured to customer analytics, marketing analytics, experimentation, or machine learning workflows

• Experience with BI tools such as Looker, Tableau, or Power BI is a plus

• It's a plus with a degree in Computer Science, Engineering, Mathematics, or a related field

Why Rebtel?

Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next.

This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide.

At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us:

• Pension Plan

• Health Checkups, Influenza shots and Private Medical Insurance

• Dental Insurance

• Occupational insurance

• Wellness allowance (5,000 SEK)

• Discount on gym memberships

• Bonus program

• Extra parental pay

• 30 days annual vacation

• Monday breakfasts

• Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition.

We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Vilka är Predictly? 

Predictly är ett konsultbolag som arbetar med allt från molnteknik (Google Cloud, AWS och Azure), data engineering och avancerad analys till fullstackutveckling, integration, AI-lösningar och infrastruktur som kod.

Hos Predictly får du arbeta nära seniora kollegor med djup kompetens genom hela systemutvecklingens livscykel och ta del av skräddarsydd kompetensutveckling baserad på dina mål och intresseområden. I kombination med generösa Work/Life-balance-policys och ett modernt kontor på Birger Jarlsgatan i centrala Stockholm erbjuder vi en arbetsmiljö där både människor och teknik får utrymme att växa. 

Vad ingår i rollen? 

Som Data Engineer på Predictly har du en nyckelroll i att bygga moderna dataplattformar i Google Cloud – från första arkitekturskiss till färdig leverans. Du arbetar nära kunderna och tar ofta helhetsansvar för plattformens tekniska uppsättning, inklusive IAM, datainsamling, strukturering och förädling av data för olika behov. 

Du utvecklar och underhåller robusta datapipelines med verktyg som Airflow, och BigQuery blir en central komponent i ditt dagliga arbete. Rollen är bred och kombinerar teknik, arkitektur och problemlösning i en dynamisk miljö där du kontinuerligt utmanas och utvecklas. Predictly samarbetar främst med medelstora kunder, där teamen ofta ansvarar för hela lösningen, något som ger dig stor möjlighet att påverka och skapa verkligt värde. 

Vem är du? 

För att lyckas i rollen tror vi att du har: 

• En relevant eftergymnasial utbildning 

• Minst 2–3 års erfarenhet av Molnplattformar, särskilt inom data engineering 

• Kunskap inom Data Warehouse och molnbaserade dataplattformar 

• Erfarenhet av att bygga och underhålla datapipelines 

• Förmåga att arbeta brett i teknikstacken, från arkitektur till implementation 

• Goda kunskaper i både svenska och engelska 

• EU-medborgarskap 

Vi tror att du känner dig trygg i utvecklarrollen och är lika självklar framför datorn som i ett modernt kontorslandskap. Du tar gärna ansvar för helheten hos kund och trivs i tvärfunktionella team där du snabbt anpassar dig till nya tekniska utmaningar. 

Det är meriterande om du har: 

• Förståelse för, eller erfarenhet av, DBT (Data Build Tool) 

• Arbetat genom olika faser av utvecklingsprojekt, från krav till förvaltning 

• Erfarenhet av agila arbetssätt 

Om du läst ända hit är chansen god att du är precis den vi söker. Vi ser fram emot att ta del av din ansökan! 

Så här ser rekryteringsprocessen ut 

Om du inte går vidare i just denna rekrytering behåller vi gärna dina uppgifter för framtida möjligheter som bättre matchar din profil.  

Urval sker löpande och tjänsten kan komma att tillsättas innan sista ansökningsdag. 

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.

We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description Required Skills & Technologies

Core Programming & Development

1. Python (3.9-3.11) - Primary language; requires solid. Senior proficiency

2. Object-Oriented Programming - Complex class hierarchies, inheritance patterns

3. Multiprocessing & Concurrency - Process management, queues, events, threading

4. Worked with Enterprise software for Automotive

5. Production ETL pipeline experience

6. Automotive/testing industry knowledge

7. Complex distributed system design experience

Data Engineering & ETL

1. ETL/ELT Pipelines - Core focus of the repository

2. Data Processing - Large-scale test bed data ingestion

Sympathy for Data - Domain-specific data processing framework (key requirement)

File Processing - Multiple formats (.sydata, .h5, various test data formats)

Cloud & Infrastructure

1. Azure Experience

Windows Server - Deployment target environment

GitHub Actions - CI/CD pipelines

Poetry

Database Technologies

Oracle Database

SQL

MongoDB

Specialized Knowledge

Test Bed Systems - Automotive testing domain knowledge

Additional Technical Skills

Windows-specific:

• PowerShell scripting

• Windows service deployment

Logging & Monitoring, on file system level and to Grafana

Network & File Systems:

• Network drive mounting

• SMB/CIFS protocols

• NAS interactions Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.