Senior Data Engineer

SHOP APOTHEKE EUROPE

. Design and build scalable data pipelines powering data products across multiple business domains .

Posted 10/6/2026full-timeRemote • Cologne • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data pipelines, optimizing large-scale datasets, and implementing Azure-based solutions. Proficient in data modeling, ETL/ELT architectures, and modern data engineering practices.

Highest-signal resume keywords

Data EngineeringPythonSQLAzure Data SolutionsDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingProduction-Grade Data PipelinesETL/ELT ArchitecturesLarge-Scale DatasetsDistributed Data Processing SystemsApache DeltaIcebergHudiRelational DatabasesCI/CD Pipelines

Soft Skills

Problem-SolvingOwnershipConsultative Mindset

Tools & Technologies

SnowflakeDBTDockerKubernetesDagsterAirflow

Industry Keywords

Cloud Data MigrationData LakesData WarehousesScalable System DesignDevOps Principles

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesOraclePostgresPythonSQL

About the role

Key responsibilities & impact

Design and build scalable data pipelines powering data products across multiple business domains
Drive cloud data migration initiatives and modernize existing platforms through transition to Azure-based solutions
Transform and optimize large-scale datasets for reliable reporting, analytics, and business decision-making
Collaborate with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders
Deliver robust end-to-end data solutions
Promote clean, maintainable code, automation, and continuous improvements across the data platform

Requirements

What you’ll need

5+ years of experience in Data Engineering
Expertise in data platforms, data modeling, and production-grade data pipelines
Strong Python and SQL skills
Ability to translate business requirements into scalable technical solutions
Experience designing and supporting distributed data processing systems such as Databricks
Experience working with large-scale datasets, data lakes, data warehouses, and ETL/ELT architectures across Azure, AWS, or GCP
Understanding of scalable system design, data engineering best practices, and modern Lakehouse technologies such as Apache Delta, Iceberg, and Hudi
Experience with Snowflake, DBT, Docker, Kubernetes, workflow orchestration tools such as Dagster and Airflow, and CI/CD pipelines is highly valued
Experience with relational databases including PostgreSQL, SQL Server, and Oracle
Understanding of DevOps principles and automated deployment practices
Strong problem-solving skills, ownership, and a consultative mindset
Ability to work independently and confidently in complex, fast-paced environments

Benefits

Comp & perks

Work-from-home arrangements, including working anywhere in the EU for up to 20 days per year when office presence is not required
Creative team events and regularly scheduled parties
Kindergarten grant of €100 total per month for employees paying childcare costs
Anonymous, free professional psychological support through nilo
Internal and external training and career development support
Fully funded Deutschland Ticket
Urban Sports Club membership (M package) and other sports and health opportunities