Job Search and Career Advice Platform

Aktiviere Job-Benachrichtigungen per E-Mail!

Technical Team Lead – Data Platform (mfx)

Scalable GmbH

Remote

EUR 70.000 - 90.000

Vollzeit

Vor 14 Tagen

Erstelle in nur wenigen Minuten einen maßgeschneiderten Lebenslauf

Überzeuge Recruiter und verdiene mehr Geld. Mehr erfahren

Zusammenfassung

A leading fintech company based in Munich is seeking a Lead Data Engineer to mentor a team and own the architecture of their data platforms. The ideal candidate will have 5+ years of experience with expertise in AWS Cloud, strong SQL and Python skills, and a background in data modeling. This is a full-time position that offers autonomy, impact, and modern technologies in a collaborative environment with opportunities for personal growth and career development.

Leistungen

Flexible vacation policy
Education budget
Health sports activities
Company pension scheme
International language classes
Relocation support

Qualifikationen

  • 5+ years of experience in building and operating data platforms in high-volume environments.
  • Strong expertise in AWS Cloud and data-native services.
  • Expert-level SQL and Python skills.

Aufgaben

  • Lead a team of senior data engineers and inspire them.
  • Own architecture development of data platforms.
  • Automate platform operations and streamline data workflows.

Kenntnisse

AWS Cloud expertise
Expert SQL
Expert Python
Infrastructure as Code (Terraform)
Workflow Orchestration (Apache Airflow)
Data Modeling & Data Warehousing
Containerization (Docker)
Software Engineering best practices
Data pipeline design and automation
Leadership and mentoring

Tools

AWS S3
AWS Glue
AWS Athena
AWS Redshift
Docker
Kubernetes
Jobbeschreibung

Lead mentor and inspire a small team of senior data engineers.

Own the architecture development and operation of our data platforms ensuring scalability security and reliability.

Automate platform operations and streamline data workflows to increase efficiency and minimize manual intervention.

Act as the first point of contact for other data engineering teams on topics like platform usage data modeling pipeline design and general data engineering best practices.

Collaborate cross-functionally to set standards and champion data engineering excellence across the organization incl. security concepts.

Remain hands-on : architect code review and deploy critical data infrastructure solutions.

Drive adoption of modern tooling (including GenAI-assisted coding) while applying critical thinking to recommendations and outputs.

Qualifications :

Several years (5) of hands-on experience building improving and operating data platforms in high-volume production environments

Expertise in AWS Cloud especially their data-native service offering (S3 Glue Athena Redshift etc.)

Expert level knowledge of IAM KMS networking and security best practices in AWS

Expert Level SQL & Python

Skilled using Infrastructure as Code : e.g. Terraform AWS CDK or CloudFormation.

Workflow Orchestration : e.g. Apache Airflow AWS Step Functions or similar.

Data Modeling & Data Warehousing : Dimensional modeling star / snowflake schemas; experience with Redshift Snowflake or BigQuery is a plus.

Containerization : Docker; Kubernetes is a plus.

Deep knowledge of Software Engineering best practicesfrom requirements specification version control CI / CD and testing to deployment and monitoring of data pipelines and services.

Ability to balance the big picture (strategy scaling) with hands-on engineering and problem-solving.

Strong skills in data modeling pipeline design and automation.

Data-native mindset : you think data-first and know how to design robust scalable and maintainable platforms.

Comfortable leveraging GenAI-assisted coding while maintaining high standards and thoughtful code reviews.

Proven experience leading mentoring and growing small expert teams.

Ability to act as a trusted advisor for other teams and communicate complex technical topics clearly.

Why Join Us

Direct ownership and impact on the future of Scalable Capitals data landscape.

High degree of autonomy trust and the chance to shape standards across the company.

Work in a modern cloud-first environment with cutting-edge data technologies.

Collaborative data-driven culture and a supportive team.

Opportunities for personal growth technical leadership and career development.

Additional Information :

  • Be part of one of the fastest-growing and most visible Fintech startups in Europe creating innovative services that have a substantial impact on the lives of our customers
  • Work with an international diverse inclusive and ever-growing team that loves creating the best products for our clients
  • Work from our centrally located offices in the heart of Munich or Berlin nestled in lively neighborhoods filled with vibrant restaurants cozy cafés and a wide range of convenient amenities or choose to work remotely within Germany (if eligible for the job)
  • Be productive with the latest hardware and tools
  • Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
  • Learn and experience German culture first hand by joining our free German language classes
  • International relocation support is provided if required
  • Flexible vacation policy and the opportunity to work from abroad
  • Benefit from an attractive compensation package and from the company pension scheme
  • Monthly contribution of 50% for the Deutschland Jobticket
  • Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capitals PRIME Broker
  • Enjoy flexible and discounted sports activities with Urban Sports Club

Remote Work : No

Employment Type : Full-time

Experience : years

Vacancy : 1

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.