Senior Data Engineer

Scott Logic

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice.    Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models.   These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset.     

Deer Data AB

About Deerdata Deerdata AB is a Stockholm-based data & AI consultancy. We design and build modern data platforms, analytics solutions, and AI capabilities for clients across automotive, telecommunications, retail, and business process outsourcing industries. We're a tight team with short decision paths and a collaborative engineering culture. The role We're hiring a Senior Data Engineer to build and maintain data pipelines and platform infrastructure for our clients. You'll work with modern tooling, lead technical delivery, and help shape our data engineering practice. What you'll do: Design and develop data pipelines. Build and maintain dbt transformation models. Work with Azure or similar data services. Manage infrastructure with Infrastructure as Code (Terraform, Bicep, or equivalent). Implement data quality, monitoring, and CI/CD for data workflows Collaborate with analysts, architects, and client stakeholders Apply AI/ML and GenAI techniques to data platforms — from automation and intelligent pipelines to LLM-powered tooling and agentic workflows Mentor junior engineers and contribute to technical direction What we're looking for: 5–10 years of data engineering experience Consulting experience — comfortable in client-facing roles, delivering on engagements Deep expertise in Azure cloud data services or similar (AWS, GCP). Strong proficiency with Databricks and Apache Spark or similar (Snowflake, BigQuery, Redshift etc). Advanced SQL and Python skills Experience with Scala for Spark development Proficiency in dbt (or equivalent transformation frameworks) Experience with Infrastructure as Code (Terraform, Bicep, ARM, or similar) Solid understanding of data modelling and warehouse design Experience with cloud platforms (AWS, GCP) — multi-cloud familiarity valued Interest and experience in AI/ML and GenAI — LLMs, intelligent automation, agentic workflows, or MLOps Fluent English (Swedish a plus) What we offer: Start: August/September, 2026 (or by agreement) Type: Full-time, permanent (tillsvidare) Location: Solna, Stockholm

Agile Resources AB

Bygg och utveckla en modern dataplattform med fokus på kvalitet, skalbarhet och pålitliga integrationer i en snabb och teknikdriven miljö. Här får du ta ett helhetsgrepp om en dataplattform som är central för verksamhetens utveckling. Rollen passar dig som vill arbeta nära produkt och teknik med fokus på robusta flöden, hög datakvalitet och skalbara lösningar. Om rollen Du ansvarar för att vidareutveckla plattformens datagrund. Du arbetar nära backend och molninfrastruktur. Du bidrar till lösningar som är stabila, spårbara och skalbara. Det här kommer du göra Utveckla och förvalta datamodeller för flera marknader och integrationer. Bygga och förbättra ingestflöden med validering, transformation och retry-hantering. Arbeta med externa datakällor och integrationer. Förbättra datakvalitet, observability och spårbarhet. Bidra till backend, databaser, jobbflöden och övervakning. Vi söker dig som har Senior bakgrund inom data engineering, backend eller plattformsutveckling. Stark kompetens inom SQL, datamodellering och datapipelines. Erfarenhet av API:er och molnmiljöer, gärna AWS. Vana att arbeta i tekniskt komplexa miljöer med många beroenden. Relevant högskoleutbildning eller motsvarande erfarenhet. Teknik & Verktyg SQL AWS Snowflake PostgreSQL Node.js / TypeScript Python API:er CI/CD Praktisk information Ort: Stockholm Arbetssätt: Huvudsakligen på plats Språk: Engelska och svenska