Senior Data Engineer - Databricks

Engg; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote hybrid work

Free parking

Game zone & relaxation area

Private health insurance

Personal development budget

Employee referral bonus

Extra holidays after year 1 and year 5

Social events

Family insurance

Sports cards sponsorship

Zusammenfassung

Mobile Wave Solutions is seeking a seasoned Senior Data Engineer to be the technical anchor for our Databricks Lakehouse platform. You will design scalable ingestion pipelines, set up CI/CD, and enforce best practices for production systems on AWS.

Candidates should have 5+ years of data engineering with Databricks and Spark, strong Python and SQL, and experience with unstructured data and governance tools such as Unity Catalog and Great Expectations. Hybrid work is offered.

Qualifikationen

• 5+ years of dedicated data engineering with Databricks and PySpark production experience.
• Experience with AWS; Azure/GCP with Databricks welcomed.
• Hands-on CI/CD for Databricks workflows (DABs or similar).
• Experience turning unstructured or semi-structured data into structured Lakehouse assets.
• Strong Python, SQL, and production-grade coding practices.

Aufgaben

• Lead architecture and implement robust Lakehouse ingestion pipelines using Databricks.
• Set up automated CI/CD pipelines with DABs and Airflow for deployments.
• Ingest and transform both structured and unstructured data into analytical datasets.
• Apply Delta Lake governance and data quality with Unity Catalog and Great Expectations.
• Mentor engineers and clearly communicate trade-offs to stakeholders.

Kenntnisse

Databricks

PySpark

Python

CI/CD

Airflow

Delta Lake

SQL

Data governance

Unstructured data

Great Expectations

Tools

Databricks Asset Bundles (DABs)

Airflow

Unity Catalog

Jobbeschreibung

Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow. We value collaboration, technical excellence, and a pragmatic approach to solving complex problems.

ABOUT THE ROLE

We are seeking a seasoned, hands‑on Senior Data Engineer to serve as the subject matter expert and technical anchor for our next‑generation Databricks Lakehouse platform. In this role, you will design and build scalable ingestion pipelines, establish production best practices, set up CI/CD standards, and elevate the team’s technical capabilities. Our current environment is hosted on AWS, but we welcome strong Databricks experts with background in Azure or other major cloud providers, as your core Lakehouse mastery is what matters most. We need a confident, self‑directed engineer with deep production experience across Databricks and Apache Spark who can tackle unstructured data sources, optimize distributed workloads, and drive decisive architectural standards in a fast‑paced rebuild environment.

KEY RESPONSIBILITIES

• Platform Standards & Best Practices: Lead the architecture, design, and implementation of robust Lakehouse ingestion and transformation pipelines using Databricks and PySpark. Establish standards that level up the broader team’s engineering maturity.
• CI/CD & Operational Excellence: Set up automated delivery pipelines using Databricks Asset Bundles (DABs) and modern orchestration (Airflow or similar) to ensure seamless, reliable deployments.
• Complex Data Integration: Architect pipelines to ingest, process, and structure both structured (OLTP) and unstructured/semi‑structured data (APIs, logs, cloud storage streams) into high‑quality analytical datasets.
• Delta Lake & Governance: Enforce Delta Lake principles (CDC, schema evolution, optimization) and integrate data quality frameworks (e.g., Great Expectations) and Unity Catalog governance into daily development.
• AI Agent Direction: Direct and evaluate AI agents for rapid code generation, ensuring generated code meets strict quality, security, and performance standards.
• Technical Mentorship & Execution: Clearly articulate complex technical trade‑offs to stakeholders, mentor peers, and confidently drive pragmatic solutions without needing step‑by‑step guidance.

QUALIFICATIONS

• Deep Databricks & Spark Expertise: 5+ years of dedicated data engineering experience with proven, large‑scale production exposure to Databricks, PySpark performance tuning, and distributed processing architectures.
• Cloud Ecosystem Experience: Strong proficiency in major cloud environments (AWS primary, but candidate expertise in Azure or GCP with Databricks is fully welcomed and transferable).
• Advanced CI/CD Knowledge: Hands‑on experience implementing enterprise CI/CD for Databricks workflows, specifically utilizing Databricks Asset Bundles (DABs) or equivalent infrastructure‑as‑code patterns.
• Unstructured & Diverse Data Processing: Demonstrated history of turning raw, unstructured, or semi‑structured data sources into structured, production‑ready Lakehouse layers.
• Production Discipline: Expert SQL optimization, deep Python proficiency, and practical experience with workflow orchestrators (Airflow) and quality/governance tooling (Unity Catalog, Great Expectations).
• Senior Communication: Concise, direct communicator capable of explaining technical concepts clearly and mentoring team members on best practices.
• Pragmatic & Autonomous: Comfortable tackling ambiguous, legacy datasets in a fast‑paced rebuild environment; excels at guiding AI‑assisted coding tools while enforcing high stability standards.

OUR BENEFITS

• Remote Office – Flexible hybrid form of working
• Parking Space – We provide free parking spots
• Fun Office Space – We offer a game zone and a relaxation area
• Health Insurance – Additional private health insurance, including a dental care plan
• Personal Development – Company‑sponsored training budget to further develop your skills
• Employee Referral Program – Receive a bonus for referring a friend
• Holidays – Enjoy an extra 5 days after your 1st and 5th year
• Social Events – We love to celebrate our success together
• Family Insurance – Add insurance to a family member
• Offering sports cards – 100% sponsored by the company