Data Engineer

Few&Far; Bayern; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading travel tech company in Munich is looking for a Data Engineer to architect and optimize robust data pipelines. You will work closely with analytics and science teams, leveraging tools you build. Ideal candidates have experience in AWS Lakehouse architectures and strong programming skills in Python and SQL. The role offers flexibility with 2 days in the office and potential sponsorship for relocation.

Qualifikationen

• Experience building and implementing Lakehouse architectures in AWS or similar setups.
• Strong programming skills in Python, SQL, Java, Kotlin, or similar languages.
• Experience with mentoring junior data engineers.

Aufgaben

• Architect, design, and optimise data pipelines for diverse datasets.
• Identify opportunities and drive initiatives to enhance data engineering processes.
• Collaborate with data analytics and data science teams.

Kenntnisse

Python

SQL

Data pipeline optimization

Mentoring

Tools

Airflow

DBT

Redshift

Athena

Spark

Jobbeschreibung

**The client can also offer sponsorship and relocation packages!

***Please note this role is based in Munich with 2 days in the office!

Few&Far are partnered with one of the fastest-growing travel tech companies in Europe. They recently secured €100 million funding round, allowing them to improve all of their services and achieve their next milestones.

The role;

• Architect, design, and optimise robust data pipelines to extract, transform, and load diverse datasets efficiently and reliably.
• Shape engineering objectives in tandem with engineering managers.
• Proactively identify opportunities and drive initiatives to enhance data engineering processes, monitor pipeline performance, and identify opportunities for optimisation and efficiency gains.
• You will be working in close collaboration with the data analytics and data science teams to further enable them to leverage the tools you have built.

Your experience;

• Experience building and implementing Lakehouse architectures in AWS or other similar setups.
• Effectively build batch and streaming data pipelines using technologies such as Airflow, DBT, Redshift, Athena, Spark, SQL databases and similar technologies
• Strong programming skills in Python, SQL, Java, Kotlin, or similar languages.
• Experience with mentoring junior data engineers