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Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och affärsstöd – och oavsett uppdrag har du en konsultchef som finns där för dig och din utveckling.

Du får arbeta med avancerade marina lednings- och stridssystem i en tekniskt krävande miljö inom försvarsindustrin. Systemen samlar information från sensorer, datalänkar och vapensystem för att ge operatörer rätt beslutsunderlag i komplexa situationer på bland annat ytfartyg och ubåtar.

I rollen har du en central position i systemarbetet. Du omsätter behov och krav till tydliga, realiserbara systemkrav och bidrar till systemdesign och arkitektur som blir grunden för vidare implementation i både hårdvara och mjukvara. Du arbetar nära flera tekniska kompetenser och får stort utrymme att påverka lösningar och tekniska vägval. Det här är en spännande möjlighet för dig som vill arbeta med komplexa system där robusthet, precision och helhetssyn är avgörande.

• Du analyserar kundbehov och omsätter dem till tydliga och genomförbara systemkrav.
• Du driver kravnedbrytning och säkerställer att kraven fungerar som underlag för utveckling i hård- och mjukvara.
• Du bidrar till systemdesign och systemarkitektur i nära samarbete med andra tekniska specialister.
• Du arbetar tvärfunktionellt för att förebygga och lösa tekniska utmaningar i projekt och organisation.
• Du får möjlighet att ta ett större ansvar inom tekniskt ledarskap om du har rätt erfarenhet och ambition.

• Erfarenhet av kravarbete i komplexa tekniska system.
• Erfarenhet av mjukvaruutveckling i komplexa tekniska system.
• Erfarenhet av systemdesign, systemarkitektur och/eller tekniskt ledarskap.
• Förmåga att arbeta både självständigt och i nära samarbete med flera tekniska intressenter.
• Möjlighet att genomgå och godkännas i en säkerhetsprövning (kräver svenskt medborgarskap, dubbla medborgarskap medges ej)

• Erfarenhet av verifiering och test på systemnivå.
• Högre teknisk utbildning.
• Erfarenhet inom programmering.
• Erfarenhet av datorarkitektur, operativsystem eller IT-säkerhet.
• Erfarenhet från marina system eller marin verksamhet inom Försvarsmakten.

• Fast anställning hos Avaron AB
• Tjänstepension
• Friskvårdsbidrag på 5 000 kr per år

Vi tillsätter löpande – sök gärna så snart du kan.

Ericsson AB

About this opportunity:

As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that support Ericsson's Hardware Management and Lab Operations ecosystem.

You will be responsible for building reliable data pipelines, integrating multiple enterprise data sources, managing data models, and ensuring high-quality, secure, and accessible data for analytics, reporting, automation, and AI-driven initiatives.

The Data Engineer works closely with Product Owners, Business Analysts, Data Scientists, Data Architects, Visualization Engineers, and operational stakeholders to transform raw operational data into trusted and governed data products that enable business decisions, process optimization, and digital transformation.

What you will do:

• Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integrations across enterprise systems, databases, APIs, and cloud or hybrid platforms.
• Develop and manage data models, data marts, warehouses, and lakehouse-ready structures that support reporting, analytics, automation, AI, and machine learning use cases.
• Ensure data quality, integrity, governance, and master data standards through automated monitoring, validation, reconciliation, and control mechanisms.
• Deliver trusted, reusable, and well-documented datasets that enable business intelligence, self-service analytics, operational reporting, and advanced analytics.
• Optimize data platform performance through partitioning, indexing, query tuning, storage optimization, and scalable infrastructure design.
• Collaborate with architects, analysts, data scientists, and business stakeholders to translate requirements into secure, sustainable, and fit-for-purpose data solutions.
• Implement and govern security, compliance, and access management controls, ensuring adherence to enterprise information security, privacy, audit, and regulatory requirements.
• Drive continuous improvement through automation, modernization, migration initiatives, structured deployment practices, version control, troubleshooting, and operational excellence.

The skills you bring:

• Proficiency in Python, SQL, and Shell/BASH scripting.
• Experience with PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Knowledge of data modelling, normalization, dimensional modelling, and star schema design.
• Experience building ETL/ELT pipelines and workflows.
• Familiarity with REST APIs, JSON, XML, and data integration patterns.
• Experience with Linux/Unix environments.
• Knowledge of Git and version control.
• Understanding of data warehousing and modern data platforms.
• Experience with cloud-based or hybrid data environments.
• Understanding of data lake, warehouse, and lakehouse architectures.
• Analytics & Visualization Enablement
• Data Governance & Security
• Analytical, problem-solving, and stakeholder communication skills

Preferred experience

• Experience with GPU clusters or high-performance compute infrastructure for data preparation and AI workloads.
• Exposure to Azure Data Services, data gateways, database optimization, and reporting ecosystems.
• Experience supporting enterprise reporting and visualization, especially Power BI.
• Experience with agile product and delivery teams.
• Understanding of operational data for utilization, capacity planning, lifecycle tracking, procurement, asset accountability, and compliance reporting.

Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och affärsstöd – och oavsett uppdrag har du en konsultchef som finns där för dig och din utveckling.

Du får arbeta med avancerade marina lednings- och stridssystem i en tekniskt krävande miljö inom försvarsindustrin. Systemen samlar information från sensorer, datalänkar och vapensystem för att ge operatörer rätt beslutsunderlag i komplexa situationer på bland annat ytfartyg och ubåtar.

I rollen har du en central position i systemarbetet. Du omsätter behov och krav till tydliga, realiserbara systemkrav och bidrar till systemdesign och arkitektur som blir grunden för vidare implementation i både hårdvara och mjukvara. Du arbetar nära flera tekniska kompetenser och får stort utrymme att påverka lösningar och tekniska vägval. Det här är en spännande möjlighet för dig som vill arbeta med komplexa system där robusthet, precision och helhetssyn är avgörande.

• Du analyserar kundbehov och omsätter dem till tydliga och genomförbara systemkrav.
• Du driver kravnedbrytning och säkerställer att kraven fungerar som underlag för utveckling i hård- och mjukvara.
• Du bidrar till systemdesign och systemarkitektur i nära samarbete med andra tekniska specialister.
• Du arbetar tvärfunktionellt för att förebygga och lösa tekniska utmaningar i projekt och organisation.
• Du får möjlighet att ta ett större ansvar inom tekniskt ledarskap om du har rätt erfarenhet och ambition.

• Erfarenhet av kravarbete i komplexa tekniska system.
• Erfarenhet av mjukvaruutveckling i komplexa tekniska system.
• Erfarenhet av systemdesign, systemarkitektur och/eller tekniskt ledarskap.
• Förmåga att arbeta både självständigt och i nära samarbete med flera tekniska intressenter.
• Möjlighet att genomgå och godkännas i en säkerhetsprövning (kräver svenskt medborgarskap, dubbla medborgarskap medges ej)

• Erfarenhet av verifiering och test på systemnivå.
• Högre teknisk utbildning.
• Erfarenhet inom programmering.
• Erfarenhet av datorarkitektur, operativsystem eller IT-säkerhet.
• Erfarenhet från marina system eller marin verksamhet inom Försvarsmakten.

• Fast anställning hos Avaron AB
• Tjänstepension
• Friskvårdsbidrag på 5 000 kr per år

Vi tillsätter löpande – sök gärna så snart du kan.