Analytics Engineer

Overview

payabl. Frankfurt am Main, Hesse, Germany

payabl. Frankfurt am Main, Hesse, Germany

payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to businesses and make them all available in one place on our platform we call payabl.one. As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts.

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

Key requirements

• 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)

Nice to Have

• Prior experience in roles bridging data engineering and analytics
• Familiarity with financial data domains such as online payments, banking and reporting

The perks of being a payabl.er

• Max Out Your Downtime: 28 days of vacation + public holidays
• 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
• Dine Your Way - Meal Voucher: €50 monthly restaurant voucher via Pluxee (Sodexo)
• Commute Your Way: Reimbursement of Deutschlandticket (€58 monthly public transport pass) or parking near the office
• Connect & Celebrate: Regular team events that strengthen collaboration and celebrate success

Hiring Process

• Initial Interview - A 30-40 minute conversation with our Talent Acquisition team
• In-Depth Discussion - A 60-minute interview with the Hiring Manager
• Technical Assessment - A role-specific assessment (written exercise, case study, or task)
• Meet Our Leadership - A 30-40 minute conversation at our UK office with our UK CEO

Ready to Join Us?

Let’s embark on a journey to redefine the landscape of payments together. We’re inviting you to be part of something bigger. If this role seems like a good match, please submit your resume. All applications are treated with confidentiality. We may keep your CV for up to one year for future opportunities. For more information about how we process your data, please see our privacy policy at

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