Sport Alliance GmbH

AI-First Data Engineer (m/f/d)

Vaga remota de Data Engineering com fit claro de localização do candidato.

Publicada18 de jul. de 2026

Países elegíveis2 países aceitos

Sinal de senioridadeMiddle

Modelo de trabalhoRemoto

Locais aceitos para candidatos

ÁustriaAlemanha

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
Design and evolve the data models that power analytics, operational use cases, and AI/ML across thousands of studios.
Help raise the bar on data reliability — embed governance, testing, and lineage so both people and AI systems can trust the numbers by default.
Partner with product, and other engineering teams to turn ambiguous business problems into robust data solutions.
Evaluate and evolve new approaches with us — data mesh patterns, and emerging AI tooling — and help decide what genuinely earns a place in our stack.
Grow into our financial and regulatory reporting workstream (Finion Capital), where correctness and auditability matter most.

3+ years in data engineering with a focus on data warehousing — and the appetite to take on more ownership than you've held so far.
Strong SQL and Python for data work.
Working with AI tools feels natural to you — and, just as important, the judgment to review and validate what they produce. You treat AI output as a draft to verify, not an answer to trust, especially where correctness is non-negotiable.
A solid grasp of data architecture and modeling principles (dimensional modeling, slowly-changing dimensions, incremental patterns) — or the drive to deepen it fast.
Hands-on experience with dbt on a cloud warehouse — this is where you'll live day to day.
Working knowledge of relational and some exposure to non-relational Databases (DynamoDB, MongoDB).
A track record of debugging tricky data issues and shipping durable fixes.
Excellent written and verbal English.

AWS experience (Redshift, EMR, Glue, S3, IAM); experience with GCP or Azure is also welcome.
Streaming/CDC technologies (Kafka, Kinesis, Debezium) or data mesh.
Experience building data pipelines for ML or AI systems.
Exposure to financial, payments, or regulated reporting data.
German (helpful for some stakeholder work, but not required).

We offer a salary range of EUR 72,000 – EUR 82,000 per year.
Final compensation will be based on experience, skills, and overall fit for the role.

30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life
Flexible Work Model – 100% remote work within Germany
Fitness & Well-being (Choose 1 of 2): Stay active your way! Choose either our free Move Republic Program to earn points for rewards, OR join EGYM Wellpass for just a €20/month co-pay to access a massive network of gyms, pools, and studios (we cover the rest!)
Access to Udemy –boost your skills with thousands of high-quality online courses
Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost
Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria
Flexible Working Hours – adjust your schedule to fit your lifestyle
Employee Discounts –access top deals in Germany and Austria via our benefits portal

Vagas similares