AI-First Data Engineer

Sport Alliance GmbH

Data Engineer at Sport Alliance optimizing data pipelines on AWS for fitness and analytics platform. Engaging with AI tools for reliable data solutions and operational efficiency.

Posted 7/16/2026full-timeRemote • 🇵🇱 PolandMid-LevelSenior💰 PLN 24,000 - PLN 28,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing cloud-native data pipelines on AWS, with a strong focus on data warehousing, data architecture, and AI tooling integration. Proficient in SQL and Python, with a commitment to data reliability and governance.

Highest-signal resume keywords

Data EngineeringSQLPythonDbtData Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingETLELTData ModelingDimensional ModelingIncremental PatternsDebuggingData GovernanceData LineageData Reliability

Soft Skills

JudgmentCommunication

Tools & Technologies

AWSAuroraRedshiftSparkEMRAirflowDynamoDBMongoDB

Industry Keywords

AI ToolsData MeshFinancial ReportingRegulatory ReportingAuditability

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudDynamoDBETLMongoDBPythonSparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

**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.

Benefits

Comp & perks

**Benefits package** – private medical care and a sports card to support your health and well-being
**Access to Udemy Business** – boost your skills with thousands of high-quality online courses
**Flexible work model** – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw
**Flexible Working Hours** – adjust your schedule to fit your lifestyle
**Unique experience in the Fitness and SaaS industry** – join a market-leading company in a dynamic, fast-growing industry
**International team** – work alongside talented colleagues from around the world in a diverse and inclusive environment
**Unforgettable company events** – take part in engaging team-building activities and memorable celebrations