Data Engineer
Come join us
In the Data Engineer role, you’ll expand your expertise by contributing to modern initiatives across a variety of industries and business domains. You’ll work with a broad toolset, with responsibilities including:
What you’ll do
Creating, developing, and operating scalable, efficient, and dependable data pipelines
Delivering end-to-end data platforms, including data architecture and ETL implementations
Partnering with data scientists, analysts, and engineering teams to integrate data and improve end-to-end performance
Applying best practices for data governance, quality, and security across the data estate
Tuning and streamlining data workflows to maximize reliability and throughput
Keeping current with new trends and advancements in data engineering
Supporting and coaching junior data engineers through mentoring and knowledge sharing
Opportunity to grow your skills in advanced AI technologies
Tech stack
You’ll use a range of tools depending on the project, however our core stack typically includes:
Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Azure Data Factory), SQL, Python, MS Fabric
.
Skills and experiences :
Must-have skills
To be successful in this position, you should have hands-on commercial experience with:
Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database, Azure Databricks)
Databricks (commercial project experience)
Python and PySpark for building and operating data solutions
SQL for querying, transforming, and validating data
Core data engineering practices (ETL, data modeling, data warehousing, data governance)
English at B2 level (or higher)
Nice to have:
Hands-on experience with MS Fabric
Familiarity with containerization and orchestration (Docker/Kubernetes)
Understanding of machine learning concepts and frameworks (e.g. MLflow, TensorFlow)
Knowledge or experience with LLMs and orchestration frameworks
.
