DATA ENGINEER T0 ELLOS GROUP
Senior Data Engineer at Ellos Group (e-commerce) who builds and optimizes a new cloud data platform on Azure and Microsoft Fabric, migrating from an on-premises warehouse. Day to day: hands-on design of real-time (Kafka, microservices) and batch pipelines, dimensional modelling, and collaboration with BI and Data Science. Fluent Swedish required.
- Compensation
- Not disclosed
- Location
- Västra Götalands län, Sweden
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Extensive experience as a Data Engineer with cloud-based data platforms
- Solid understanding of dimensional modelling, traditional data warehousing and Kimball principles
- Good understanding of Kafka-based architectures, event-driven systems and microservices
- Fluent in spoken and written Swedish
- University degree in Computer Science, Information Systems or related field, or equivalent professional experience
Nice to have
- Hands-on experience with lakehouse/warehouse platforms such as Databricks, Delta Lake, Apache Iceberg, Hadoop/Hortonworks, Snowflake, Google BigQuery, Azure Synapse, Cloudera or AWS Lakehouse
- Self-driven, analytical and collaborative; able to act as a technical sounding board
Full description
Do you want to help build the next-generation data platform at one of the Nordic region’s leading e-commerce companies?
Ellos Group is in the middle of a major data and platform transformation and is now looking for a Senior Data Engineer who wants to play a key role in the transition from a traditional on-premises data warehouse to a modern, cloud-based data platform built on Azure and Microsoft Fabric.
We look forward to receiving your application!
YOUR ROLE
As a Data Engineer, you will become a key member of the Data & Analytics team within Ellos IT. You will work closely with our Senior BI Developer, who also serves as Product Owner for BI, and together you will drive the technical direction of the data platform. This is a hands‑on role with significant influence over architecture, technology choices and ways of working.
You will work at the intersection of traditional data warehousing and modern event-driven architectures, where microservices, Kafka and streaming data come together with established data models and business logic. You will collaborate closely with the business, BI, Data Science and other development teams, building solutions that support business-critical operations.
In this role, you will:
- Build, further develop and optimise Ellos Group’s new data platform in Azure and Microsoft Fabric, with a strong focus on performance tuning, cost efficiency and operational stability.
- Design and develop data pipelines for both real‑time and batch processing, working with data sources such as Kafka, internal microservices, Microsoft SQL Server and Google Analytics.
- Drive the migration from an established on‑premises data warehouse to a modern cloud-based platform, ensuring that existing functionality is recreated, improved and future-proofed.
- Work closely with BI developers, Data Scientists and Product Owners to ensure high data quality, well‑defined business concepts and data models that support both analytics and business‑critical processes.
Your day will often begin with a team stand‑up, followed by development work, technical discussions, backlog refinement or workshops. We work in an agile and collaborative way, whether you are working from the office or remotely.
WHO YOU ARE
You are a highly experienced Data Engineer with strong technical confidence and a broad understanding of modern data platforms. You enjoy taking responsibility, making architectural and technical decisions and remaining hands‑on in designing, building, optimising and maintaining production solutions. You have extensive experience of cloud‑based data platforms and are comfortable working in complex environments with large data volumes, demanding performance requirements and business-critical workloads.