Data Engineer

About the Role You’ll be part of a hands-on consulting team building data platforms that clients actually run in production. This isn’t a support role — you’ll own workstreams, collaborate with client engineers, and be expected to ship. You’ll work across the full data lifecycle: ingestion, modeling, orchestration, and serving — on real enterprise-scale data.

Responsibilities Design, develop, and maintain end-to-end data pipelines for large-scale processing on cloud platforms (primarily Databricks on AWS) Build and optimize pipelines using Databricks — Delta Lake, Auto Loader, Workflows, and SQL Warehouses Implement medallion architecture (bronze/silver/gold) with proper data modeling practices Collaborate with client stakeholders and internal team to ensure data quality and deliver actionable insights via BI tools Monitor and troubleshoot data workflows in production, resolving issues in a structured and timely manner Write clean, maintainable PySpark and SQL code that other engineers can read and extend Support technical scoping and solution design during pre-sales or project kickoff phases

Requirements Must Have Min. 2 years of experience as a Data Engineer, preferably in a consulting or multi-client environment Strong proficiency in Python (PySpark, Pandas) and SQL — CTAS, Window Functions, CTEs Hands-on Databricks experience: notebooks, Delta Lake, Workflows, and SQL Warehouses Experience with AWS data services: S3, Glue, RDS/Aurora, or Redshift Solid understanding of data modeling — star schema, medallion architecture, normalization Version control with GitHub or GitLab in a team environment Strong communication skills — ability to explain technical decisions to non-technical stakeholders

Nice to Have Databricks Unity Catalog, Auto Loader, Delta Sharing, or lakehouse concepts Snowflake experience — schema design, data sharing, cost optimization SAP data extraction via OData, PyRFC, or similar connectors BI tools: Power BI, QuickSight, Tableau, or Databricks AI/BI Databricks Certified Data Engineer Associate or above API-based data ingestion patterns Hands-on experience with MySQL, PostgreSQL, or MariaDB

Skills: MongoDB, Microsoft Azure, ETL, Delta Lake, Data Integration, CTAS, RedShift, Amazon Web Services (AWS)