Senior Data Engineer - Databricks Lakehouse & AI Pipelines

AgileEngine; Szczecin; On-site; PLN 410,000 - 633,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility: 100% remote

Modern projects with global teams

Collaborative culture

Well-being & support

Job summary

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake across bronze, silver, and gold layers.

You will also leverage AI tools like Claude and GitHub Copilot to accelerate development, while collaborating with cross-functional teams to ensure data quality, governance, and scalable analytics. Remote-first collaboration is emphasized.

Qualifications

• 4+ years of professional experience in data engineering with Spark & cloud data architectures.
• Strong hands-on experience building data pipelines with Databricks, Spark (PySpark), and Delta Lake.
• Advanced SQL and Python, with data modeling across dimensional and Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy platform migrations and data hygiene when porting old systems.

Responsibilities

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion architecture (bronze/silver/gold) for analytics, reporting, and ML consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal disruption.
• Utilize Claude or GitHub Copilot to accelerate development, generate scaffolding, tests, documentation, and prototypes.
• Write clean, well-tested Python and SQL with rigorous code reviews and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning and clustering.
• Implement data quality, lineage, and governance with Unity Catalog and automated checks.
• Debug and resolve pipeline failures, data defects, and production incidents.
• Collaborate with DevOps, platform, and analytics engineers on observability and security.

Skills

Apache Spark

Databricks

Delta Lake

Python

SQL

Data modeling

Data governance

English

Tools

Databricks Workflows

Airflow

Azure Data Factory

Kafka

Auto Loader

dbt

Unity Catalog

Job description

AgileEngine is seeking a Senior Data Engineer to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark and Delta Lake across bronze, silver, and gold layers.

You will also leverage AI tools like Claude and GitHub Copilot to accelerate development, while collaborating with cross-functional teams to ensure data quality, governance, and scalable analytics. Remote-first collaboration is emphasized.