Data Engineer

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take a central role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and well-governed data pipelines that support changing business needs while aligning with a clear target vision. In this role, you will work close to product and domain teams in a data mesh context, where data sharing, independent deployment, and strong engineering standards are key. You will help shape how data products are built, operated, and improved over time, with attention to security, observability, performance, and maintainability. This is a great opportunity for you if you want to combine hands-on data engineering with influence over ways of working, cloud infrastructure, and long-term technical direction on GCP. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting both existing and new data pipelines on GCP. You will drive a DevOps-oriented way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units and ensure they follow defined standards for security, scalability, observability, and performance. You will work closely with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities that support evolving business needs. You will collaborate with product teams across domains to enable data sharing and integration in a data mesh setup. You will contribute to continuous improvement of data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies and bring that knowledge into the team. RequirementsExperience building, optimizing, and supporting data pipelines in Google Cloud Platform. Hands-on experience with CI/CD, Terraform, and cloud infrastructure, primarily on GCP. Ability to work with a DevOps mindset and apply modern engineering principles in daily work. Experience designing data products with a strong focus on security, scalability, observability, and performance. Experience collaborating with Product Managers, stakeholders, and cross-functional product teams. Ability to work in a data mesh context and support data sharing and integration across domains. Cloud certification. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience working with data formats such as Avro, Parquet, Iceberg, or Hudi. Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. GCP Data Engineer certification. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will play a key role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and secure data pipelines that support a clear target vision while enabling better data sharing across domains. In this role, you will work end to end with both new and existing pipelines, from development and optimization to support and continuous improvement. You will help shape how data products are built as independent deployment units, with strong standards for security, observability, performance, and scalability. You will also work closely with product and business stakeholders to define the direction of data products and identify opportunities where better data capabilities can support changing business needs. If you enjoy combining hands-on engineering with influence over ways of working, architecture, and platform quality, this is a great opportunity to make a real impact. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting data pipelines in GCP. You will drive a DevOps way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units that meet defined standards for security, scalability, observability, and performance. You will collaborate with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities. You will work with product teams across different domains to enable data sharing and integration in a data mesh context. You will contribute to continuous improvement in data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies to support long-term platform development. RequirementsExperience building, optimizing, and supporting data pipelines end to end. Strong hands-on work with Google Cloud Platform. Experience working with CI/CD pipelines, Terraform, and cloud infrastructure. Ability to design data products with focus on security, scalability, observability, and performance. Experience collaborating with product teams and stakeholders to support data sharing and integration. A DevOps mindset and a drive to improve engineering practices and reduce technical debt. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience with data formats such as Avro, Parquet, Iceberg, or Hudi. Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Rasulson Consulting AB

Om tjänsten Vill du ta en nyckelroll i förvaltningen och vidareutvecklingen av en verksamhetskritisk data warehouse-lösning i en stor och komplex organisation? Vi söker en erfaren Data Engineer som blir en central del av ett team med gemensamt ansvar för kundens data warehouse, i tätt samarbete med drift, utveckling och verksamhet. Arbetsuppgifter Kartlägga och dokumentera informationsflöden samt beroenden till kringliggande system Använda SQL för att analysera befintlig lösning, förstå samband och identifiera förbättringspotential Analysera och felsöka inkommande incidenter Koordinera och samverka med drift- och utvecklingspartner Agera teknisk kravställare mot utvecklingsteamet Arbeta med test- och releasehantering Fungera som arkitekt i befintlig lösning samt stötta inom governance och IT-säkerhet Driva initiativ för förbättring respektive avveckling Kvalifikationer (ska-krav) God kompetens inom SQL och SSIS God förståelse för informationsmodellering Erfarenhet av Azure Synapse och övriga Azure-molntjänster Erfarenhet av ett verksamhetsövergripande beslutsstöd Förmåga att analysera stora datamängder, se samband och omsätta det till verksamhetsnytta Självständig och strukturerad arbetsstil God förståelse för test, release och kvalitetssäkring Erfarenhet från större, komplexa organisationer med många intressenter Obehindrad engelska i tal och skrift Meriterande Tabulärmodeller och Power BI Databricks Agil utveckling och arbete i tågstruktur (SAFe) Personliga egenskaper Du trivs i skärningspunkten mellan teknik och verksamhet, har stark analytisk förmåga och navigerar tryggt i stora datamängder. Du är strukturerad och självgående, en god kommunikatör och van att agera teknisk kravställare och samarbeta effektivt med drift, utveckling och andra intressenter i en komplex miljö.