# Analytics Engineer at applike group

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build, and maintain reliable dat

- **Company:** applike group (https://jobs.trythestack.co/companies/applike-group)
- **Location:** Hamburg, Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, dbt, Git, AWS, Data Modeling, Data Architecture, ETL/ELT, Tableau, Data Visualization, Analytical Skills, Problem Solving
- **Posted by employer:** 2026-05-28
- **Added to The Stack:** 2026-05-29
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.lever.co/applike/0a2be4d6-b273-4dc9-8629-c877d93b5dbc (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/analytics-engineer-applike-group

## About the role

Responsibilities:
- Design, build, and maintain reliable data pipelines using SQL, Python, dbt, Git, and AWS services.
- Create and evolve data models and architectures for product, marketing, and analytics use cases.
- Implement data quality, validation, and monitoring to ensure accurate reporting.
- Define KPIs, run experiments with product/marketing teams, and build dashboards and visualizations (Tableau) to communicate insights.
- Automate ETL/ELT processes and collaborate with stakeholders to translate business questions into data solutions.

Requirements:
- Bachelor’s degree in STEM or equivalent experience and 3+ years in data engineering/analytics or related roles.
- Strong SQL and Python skills; hands-on experience with dbt and git-based version control (GitLab or similar).
- Knowledge of data modeling, ETL/ELT patterns, and cloud services (AWS preferred).
- Ability to validate hypotheses through visualization, set KPIs, and work autonomously with stakeholders.
- Strong analytical mindset, problem-solving skills, and willingness to learn and adapt in a fast-paced environment.

## Responsibilities

Design and maintain data pipelines and architecture using SQL, Python, and dbt to support business domains. Collaborate with product and marketing teams to establish KPIs and create visualization tools in Tableau.

## Requirements

Requires a Bachelor's degree in STEM or equivalent experience with at least 3 years in data science, engineering, or analytics. Proficiency in SQL, Python, dbt, and git-based version control is essential.

## FAQ

- **Is this Analytics Engineer role still open?** It was posted on 2026-05-28. Listings more than 30 days old may no longer be active, so check applike group's site before applying.
- **Does applike group offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on applike group's site.
- **Where is this role located?** The listing gives the location as Hamburg, Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, dbt, Git, AWS, Data Modeling, Data Architecture, ETL/ELT, Tableau, Data Visualization, Analytical Skills, Problem Solving.

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## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

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## Notes for agents

- Apply on the employer's page (https://jobs.lever.co/applike/0a2be4d6-b273-4dc9-8629-c877d93b5dbc). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "analytics-engineer-applike-group": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Analytics Engineer at applike group, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/analytics-engineer-applike-group)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md