Data Engineer

Data Engineer

Coop Sverige AB

Coop Sverige – Together we make food-Sweden sustainable At Coop we are building the data backbone of a truly data-driven company. We run stores for our 4.2 million members, and our motto is “Relevance in every touchpoint.” Understanding our customers’ needs and behaviours is what fuels our innovation – from purchasing and logistics to personalised customer experiences. We are now strengthening our Data Platform team with a skilled Data Engineer to help us build scalable, cloud-native data solutions on Azure. About the role You will be part of our Data Platform team, which sits within Coop’s AI & Business Intelligence organisation – the team building the data foundation that powers analytics, reporting, operational intelligence and AI across the company. In this role you will design, build and optimise enterprise-grade data platforms using Azure Data Services, Databricks, modern Data Lakehouse architectures, real-time streaming and DevOps automation. You’ll turn data from across the business into trusted, high-quality data products that the whole organisation can rely on. What you will do Design and implement scalable batch and real-time data pipelines using Azure-native technologies. Build and maintain robust data ingestion frameworks from multiple source systems, APIs and event streams. Develop and manage Medallion Architecture (Bronze, Silver, Gold) within the enterprise Data Lake. Implement streaming solutions with Kafka, Event Hub and Service Bus for event-driven processing. Develop transformation frameworks using Databricks, PySpark and Delta Lake. Collaborate with business stakeholders, data analysts and data scientists to deliver trusted, high-quality data products. Enable CI/CD pipelines and automate deployments using Azure DevOps best practices. Drive platform optimization focused on performance, scalability, reliability and cost efficiency. Ensure adherence to data governance, security, monitoring and operational excellence standards. Who are you? To succeed in this role, we believe you have a genuine passion for getting value from massive datasets and love working with state-of-the-art technologies that make completely new data-driven solutions possible. You enjoy working with different tasks and stakeholders, you are result-oriented, and you spark when given room to take initiative and create solutions. As a team, we believe in supporting and challenging each other and growing a positive, learning culture. We believe that you Have strong hands-on experience with the Azure data platform – Azure Data Factory, Azure Databricks, Data Lake Storage Gen2 (ADLS), Azure Functions, Event Hub and Service Bus. Are highly skilled in Databricks and the Lakehouse – PySpark, Spark SQL, Delta Lake, Databricks Workflows, Unity Catalog and performance tuning, applying Medallion and Lakehouse architecture in practice. Are strong in data architecture and modelling – Lakehouse and Medallion design, ETL/ELT frameworks, and data quality & validation frameworks. Have experience with streaming and integration – Apache Kafka, event-driven architecture, Service Bus, batch ingestion / Autoloader and REST APIs. Are a confident programmer in Python, PySpark and SQL. Work the DevOps way – Azure DevOps, CI/CD pipeline development and Infrastructure as Code (Terraform preferred). Are comfortable with monitoring and operations – Log Analytics, Application Insights, and performance tuning & troubleshooting. Can communicate effectively with both technical specialists and non-technical stakeholders. It’s meritorious if you Have 5+ years of experience in data engineering. Have built enterprise-scale Azure data platforms hands-on. Have worked with retail, logistics or large-scale operational data environments. Have supported machine learning and advanced analytics workloads. Have a strong understanding of distributed data processing and streaming architectures. About us The grocery trade is a stable, long-term industry, and Coop’s offering is essential to the transition toward a greener, more sustainable future. You’ll join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. Our office in Solna Business Park offers a modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. At Coop, we work for our 4.2 million members, making us by far the largest cooperation in Sweden. If you have questions about the position, you are welcome to contact Hiring Manager Jakob Liljedahl (jakob.liljedahl@coop.se) or the recruiter Andreas Nilsson (andreas.nilsson2@coop.se) Welcome with your application! For a sustainable future together:Coop is Sweden's largest cooperative and a leading player in the grocery retail sector, with over 4 million members. We focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services. We believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace. Therefore, we welcome everyone, regardless of gender, age, background, or ethnic origin.

Data Engineer

DKR

David Kennedy Recruitment is working with an innovative global Customer Experience company currently looking to hire a Data Engineer to join their growing international team. Position: Data Engineer Location: Limassol, Cyprus Employment type: Full-time DUTIES AND RESPONSIBILITIES: Develop and maintain batch and incremental ETL/ELT pipelines Build and manage data ingestion processes from APIs and relational databases Implement and optimise transformation logic within the Data Warehouse environment Support data quality validation, monitoring, auditability, and reliability initiatives Assist with containerised and automated workflows in Docker-based environments Collaborate with technical teams and business stakeholders to understand data structures and business requirements Support schema evolution, deployment processes, and system scalability Document pipeline logic, workflows, and technical decisions to support maintainability and best practices Contribute to the continuous improvement of data engineering standards and processes. REQUIREMENTS: Native/fluent in English both oral and written 3-5 years of experience in Data Engineering, Software Engineering, or backend development Strong SQL proficiency and solid working knowledge of Python Good understanding of ETL/ELT concepts and incremental loading principles Experience working with relational databases, APIs, and data integration processes Familiarity with Git and version control systems Experience with cloud data platforms such as BigQuery or Snowflake Knowledge of orchestration tools such as Airflow Familiarity with Docker and containerised environments Understanding of data modelling concepts and structured data environments Awareness of secure data handling and access control principles Strong analytical, problem-solving, and engineering fundamentals Structured, detail-oriented, and proactive approach to work Ability to quickly learn new technologies and adapt to evolving environments Effective communication skills with the ability to collaborate across technical and business teams Ability to understand and navigate technical systems holistically, even when working with unfamiliar tools or technologies. OFFER: Excellent working environment within an international organisation. Medical insurance and pension plan options. Birthday vouchers and additional perks for special occasions. Fully equipped kitchen and in-house entertainment space. Monthly lunches, corporate events, sports teams, competitions, and social activities. Daily snacks and a casual dress code. Strong opportunities for professional growth and career progression within a global organisation.

Data Engineer

Professional Galaxy AB

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Data Engineer for one of our clients. About the assignment: Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies. Nice to Have Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,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. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.