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The role is about:
We are looking for a skilled Analytics Engineer to join our data team and help bridge the gap between data engineering and data analytics. This role will focus on ensuring data quality, performing sanity and validation checks, and transforming raw data into clean, reliable datasets for analysis. The ideal candidate will have a strong understanding of business logic and data workflows, enabling them to deliver high-quality data that meets the needs of our analysts and business stakeholders.
Location: Germany
Reporting to: Product Analyst Team Lead
What you will do:
- Develop, implement, and maintain data quality checks and validation processes across data pipelines
- Perform sanity checks to identify and resolve data inconsistencies, duplicates, and missing values.
- Transform raw data from the data lakehouse into clean, validated datasets ready for consumption in the data warehouse
- Document data quality issues, root causes, and resolutions to improve overall data governance
- Support analysts by providing reliable and well-prepared data sets, reducing their need to work directly with raw data
- Contribute to the design and improvement of data workflows and automation around data quality
- Collaborate closely with data engineers, domain team leads and analysts to understand business requirements and data contexts
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- Proficient in Python, including libraries such as pandas and numpy
- Experience with SQL and data transformation tools (dbt, Apache Spark, etc.)
- Experience with ETL / ELT pipeline design, implementation, and maintenance (Airflow, Luigi)
- Familiarity with data warehouse technologies (e.g., Apache Druid, Snowflake, Redshift)
- Proficiency with Git (GitLab) for version control
- Strong understanding of data quality concepts and best practices
- Experience working in cross-functional teams, communicating effectively between technical and business stakeholders
- Problem-solving mindset and attention to detail
- Experience with finance data (transactions, clearing reports)
- Prior experience in roles bridging data engineering and analytics
- Familiarity with financial data domains such as online payments, banking and reporting
- Max Out Your Downtime: 28 days of vacation + public holidays,—because we know rest is key to doing your best
- Extra Cheer: In addition to standard German public holidays, enjoy full days off on December 24th and 31st, plus two extra local half-day holidays in Frankfurt—Shrove Tuesday and Wäldchestag (the Tuesday after Whit Monday)
- Dine Your Way - Meal Voucher: €50 monthly restaurant voucher via Pluxee (Sodexo) to enjoy great meals your way
- Commute Your Way: We'll reimburse your Deutschlandticket (€58 monthly public transport pass) or cover parking near the office—supporting your daily commute
- Connect & Celebrate: Join regular team events that bring colleagues together, strengthen collaboration, and celebrate shared success
- Initial Interview - A 30-40 minute conversation with our Talent Acquisition team to discuss your background, experience, and career goals
- In-Depth Discussion - A 60-minute interview with the Hiring Manager, to explore your skills, achievements, and alignment with the role.
- Technical Assessment: A role-specific assessment designed to evaluate your practical skills and problem-solving abilities relevant to the position. This may include a written exercise, case study, or task to be completed within a specified timeframe
- Meet Our Leadership - A 30-40 minute conversation at our UK office with our UK CEO to gain further insight into our vision and business priorities
Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team!
If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy.
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