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 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.

Schibsted News Media AB

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. What you'll do Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we're looking forMust have 4+ years of experience as a Data Engineer or similar role Strong SQL skills and a good understanding of modern data warehousing concepts Experience building data pipelines and working with orchestration tools such as Airflow or similar Hands-on experience with dbt and modern data transformation practices Experience with Python for data engineering or automation Experience with Git and modern software engineering practices Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with software engineering practices such as automated testing, CI/CD, and code review workflows Experience with Snowflake or similar cloud data platforms Experience with Infrastructure as Code (Terraform or similar) Experience with AWS, GCP, or Azure Interest in data quality, observability, governance, or platform engineering Why join us? Build the platform that enables data and AI across Schibsted Media Work with modern technologies and experienced engineers across multiple teams Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted's premium media products, including news and podcasts About you You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.