Middle Databricks Data Engineer ID86295

Job description

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

About the role

We are looking for a Middle Data Engineer to help modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will build batch and streaming pipelines with PySpark and Delta Lake, following a medallion architecture across bronze, silver, and gold layers. This role also uses AI tools like Claude and GitHub Copilot to speed up development.

What you will do

- Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.

- Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.

- Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.

- Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.

- Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.

- Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.

- Implement data quality, lineage, and governance controls using Unity Catalog and automated validation checks.

- Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.

- Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

Must haves

- 3+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.

- Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.

- Advanced SQL and Python, with strong data modeling skills 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, ETL modernization, or managing data hygiene when porting old systems.

- Strong problem-solving, collaboration, and communication skills.

- Familiarity with Unity Catalog, data governance, access control, and PII handling.

- Experience with dbt or an equivalent transformation framework.

- Familiarity with secure coding standards and industry security best practices.

- Experience delivering production data platforms at scale.

- Upper-intermediate English level.

Nice to haves

- Experience with Infrastructure as Code (IaC) using Terraform and CI/CD using Azure DevOps.

- Experience working with relational databases (specifically PostgreSQL) and data persistence concepts.

- Familiarity with logging and monitoring tools (e.g., Dynatrace, CloudWatch, Databricks system tables).

- Experience working in Agile or team-based development environments preferred.

The benefits of joining us

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

- Short online form to confirm basic requirements

- 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.

- 5-minute introduction video

Synchronous stage – Live interviews

- Technical interview with our engineering team (scheduled at your convenience)

- Final interview with your future teammates

If it’s a match — you’ll get an offer!