(Senior) Data Engineer

Are you ready to be the owner of data systems that power critical business decisions? Do you thrive when  you can turn raw data into reliable pipelines, scalable infrastructure, and insights that drive real impact? If so, we have an exciting opportunity for you.    Within ABB E-mobility, we are building a new venture focused on an end-to-end managed offering that brings together hardware, software, and operational excellence into a unified service model. This is a unique opportunity to join a fast-scaling, high-impact business within ABB E-mobility, where you  as (Senior) Data Engineer will play a key role in shaping the data platform  for  our next growth chapter.   What you will do: We are looking for a (Senior) Data Engineer to be our first internal hire in this new venture.   Our data platform has been built on Azure Databricks and is live in production. You will own it end-to-end.   Note : This is not a role for the faint of heart. You’ll be joining a fast-moving team where priorities shift quickly, challenges come without warning, and solutions rarely exist yet. It will demand grit, speed, and relentless ownership.   Your responsibilities will include:   Own our data platform end-to-end, whether it means deciding on the best strategy to ingest a new data source or repairing a broken pipeline at 10 pm (thankfully our pipelines rarely break :))   Proactively identify data quality issues, pipeline gaps, and business logic inconsistencies before data consumers find them   Build and maintain data pipelines using Delta Live Tables (DLT) as our core framework, authored in Python and SQL and deployed via Databricks Asset Bundles   Extend and maintain our custom API ingestion framework (a native Spark Data Source) to onboard new data sources, handling pagination, incremental state, and schema evolution   Integrate and process streaming data from Azure Event Hubs into our data Lakehouse   Own data modelling and medallion architecture decisions (Bronze/Silver/Gold), including evolving them as the business grows   Develop a genuine understanding of the business domain: charging network operations, industry protocols (OCPP, OCPI), billing logic, and how the data is used by our Operations team   Orchestrate and monitor multi-step jobs end-to-end using Databricks Workflows   Manage and evolve cloud infrastructure using Terraform on Azure (Event Hubs, ADLS, Key Vault, Unity Catalog, networking) in combination with Databricks Asset Bundles for workspace assets   Enforce data quality through DLT expectations and SQL alert definitions; own freshness and observability standards for the platform   Maintain CI/CD pipelines via Azure DevOps   Contribute to our customer-facing Charging Portal, which currently embeds Databricks dashboards and serves as the foundation for future API endpoints and customer self-service features   What you will bring: You thrive in ambiguity and like to own outcomes. You…