Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.000 to 75.000€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop robust data pipelines, optimize existing systems, and implement automated tests to ensure data quality and create efficient cloud architectures.
Job Technologies
Your role in the team
- Pipeline Engineering: Build, deploy, and maintain robust transformation pipelines for high-volume data. You will participate in the full lifecycle: ingestion, transformation, testing (unit/integration), deployment, and monitoring.
- Optimization & Maintenance: Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs).
- Software Engineering Best Practices: Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing.
- Data Quality & Observability: Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders.
- Collaboration & Growth: Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad.
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Our expectations of you
Qualifications
- We are looking for a Data Analytics Engineer who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms.
- This is not a Data Analyst role. While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations.
- Must-Have Skills:
- Solid Python proficiency: You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging.
- Strong skills in SQL & dbt: You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans.
- Data Warehouse Ops: Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts.
Experience
- We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data.
- 2+ years of experience specifically in Analytics Engineering or Data Engineering.
- Software Engineering Fundamentals: Practical experience with Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and Containerization (Docker).
- AWS Cloud Native Experience: Experience building and maintaining data workflows using serverless architectures such as AWS Lambda, StepFunctions, Glue, and Athena.
- Testing Mindset: Experience implementing Unit Tests and Integration Tests for data pipelines rather than relying solely on manual checks.
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What we offer
- We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year.
- To encourage education and professional growth, we offer an individual yearly budget of €1,200.
- You are entitled to 30 vacation days per year.
- We offer Urban Sports Club membership, company pension scheme.
- Regular team events and company events organised by our People team (Trust us, they know how to throw a party!).
- We equip you with the latest hardware and provide you with all the tools you need to thrive.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
adsquare GmbH
adsquare GmbH, based in Berlin, is a globally operating company specializing in audience and location intelligence. It assists brands, advertisers, and media agencies in planning, activating, and optimizing their campaigns based on data. The company offers solutions that prioritize privacy in marketing and advertising.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Analytics Engineer
- Salary
- 60.000 to 75.000€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
