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Data/IT

Sista ansökningsdag 2027-03-11

Senior Data Engineer

Nordic Investin Group AktiebolagVanlig anställningPublicerad 2026-09-12

One of Nordic Investin’s partner companies is looking for a Senior Data Engineer, with Nordic Investin leading the recruitment process. You want data products to be dependable enough that analysts stop building workarounds around the platform. The partner is developing modern analytics products for a data driven organisation. You will create pipelines, models and services that make complex data accessible while improving quality, lineage and operational ownership. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build batch and streaming data pipelines. Model trusted datasets for analytics and machine learning. Develop APIs and services that expose data products. Improve orchestration, testing and data quality controls. Optimise performance and cost across the platform. Collaborate with analysts, product managers and application engineers. What you will bring Strong Python and SQL in production data environments. Experience with a cloud data platform such as Databricks, Snowflake or BigQuery. Knowledge of orchestration, transformation and data modelling. Experience with CI CD and infrastructure as code for data systems. Understanding of data quality, governan

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