Hamburg, Germany
Live, first seen by us 29 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Create reusable mart tables for forecasting, optimisation and reporting needs
Simplify existing transformations so downstream teams don't rebuild logic
Build and monitor Python and GCP data pipelines
Document schemas, lineage and data contracts
Manage IAM roles, data access, cost monitoring and data validity checks
create reusable mart tables
Simplify existing transformations so downstream teams never rebuild the same logic
Build and monitor pipelines (Python + GCP) and keep them healthy
Document everything - schemas, lineage, and data contracts
manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks
3+ years of professional analytics engineering experience
Strong Python skills for ETL and orchestration
hands-on experience with GCP, BigQuery, Git, and CI/CD
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Day 29
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- Simplify existing transformations so downstream teams never rebuild the same logic. - Build and monitor pipelines (Python + GCP) and keep them healthy. - Document everything - schemas, lineage, and data contracts.
- Advanced SQL skills, routinely writing complex CTEs, window functions, and query optimisation. - Strong Python skills for ETL and orchestration, alongside hands-on experience with GCP, BigQuery, Git, and CI/CD. - Methodically analyse complex, tangled systems and design clear, structured plans for improvement.
- Guard the platform: manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks. - Mentor junior analysts and raise SQL skills across the whole Supply. Qualifications
- 3+ years of professional analytics engineering experience (or similar), with a track record of turning messy operational data into governed analytics layers. - Advanced SQL skills, routinely writing complex CTEs, window functions, and query optimisation. - Strong Python skills for ETL and orchestration, alongside hands-on experience with GCP, BigQuery, Git, and CI/CD.
- Experience with modern transformation and orchestration tools like dbt or Dagster. - Familiarity with AWS core services, specifically Batch, Lambda, and Step Functions. - Industry background or domain knowledge in supply chain or logistics.
- Nice-to-Haves - Experience with modern transformation and orchestration tools like dbt or Dagster. - Familiarity with AWS core services, specifically Batch, Lambda, and Step Functions.
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
We are looking for an Analytics Engineer (m/f/d) who will take full ownership of our supply data and turn it into reliable, ready-for-analysis datasets. You’ll partner with Data Scientists, Analysts, and Supply stakeholders to make sure everyone works from the same clean source of truth
At Supply Data Solutions, we build end-to-end data-driven decision-making tools. These solutions work in sync to guide daily operations in the Supply Unit at ABOUT YOU, supporting Pricing & Steering, Demand Planning, and Inventory Management.
You will:
Identify overlapping data needs across forecasts, optimisation, and reporting, and create reusable mart tables.
Simplify existing transformations so downstream teams never rebuild the same logic.
Build and monitor pipelines (Python + GCP) and keep them healthy.
Document everything - schemas, lineage, and data contracts.
Guard the platform: manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks.
Mentor junior analysts and raise SQL skills across the whole Supply.
3+ years of professional analytics engineering experience (or similar), with a track record of turning messy operational data into governed analytics layers.
Advanced SQL skills, routinely writing complex CTEs, window functions, and query optimisation.
Strong Python skills for ETL and orchestration, alongside hands-on experience with GCP, BigQuery, Git, and CI/CD.
Methodically analyse complex, tangled systems and design clear, structured plans for improvement.
Take proactive ownership of the platform’s health, ensuring robust monitoring, governance, and reliability.
Balance long-term, clean system design with the immediate need to deliver business value.
Collaborate confidently across teams to establish data contracts and align upstream source teams, downstream consumers, data scientists, and analysts.
Nice-to-Haves
Experience with modern transformation and orchestration tools like dbt or Dagster.
Familiarity with AWS core services, specifically Batch, Lambda, and Step Functions.
Industry background or domain knowledge in supply chain or logistics.
Exposure to data cataloging and data observability platforms.
Your perks at a glance: Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
Your perks at a glance: Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.
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Hamburg, Germany
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