Analytics Engineer

payabl.; Deutschland; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Provident Fund

Annual Learning Budget

€150 Wolt allowance per month

SportsBenefits membership

Company car after one year (eligibilty

Parking space near office

25 days vacation + holidays + 10 sick

Zusammenfassung

payabl. is seeking an Analytics Engineer to join our data team. The role focuses on ensuring data quality, validating datasets, and transforming raw data into clean, analysis-ready sources. You will bridge data engineering and analytics to deliver reliable data for stakeholders.

You will design models and automate checks across lakehouse layers, collaborating with engineers, domain leads, and analysts. A strong background in SQL, Python, and ELT pipelines is essential.

Qualifikationen

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field or equivalent practical experience.
• Strong SQL skills and hands-on experience with data transformation tools (dbt strongly preferred).
• Proficiency in Python, including pandas for data analysis and validation.
• Experience with ELT/ETL pipeline design, implementation, and maintenance, including orchestration tools (Airflow).
• Familiarity with data lakehouse and warehouse technologies (e.g., Apache Iceberg, Trino, Apache Druid, Snowflake, Redshift).
• Experience with data quality and testing frameworks (dbt tests, Great Expectations, Soda, or similar).
• Proficiency with Git (GitLab) for version control and collaborative development workflows (merge requests, code review, CI/CD).
• Strong understanding of data modeling concepts (dimensional modeling, star schema) and data quality best practices.
• Experience working in cross-functional teams, communicating effectively between technical and business stakeholders.
• Problem-solving mindset and attention to detail.

Aufgaben

• Design, develop, and maintain data models and transformations (dbt) that turn raw lakehouse data into clean, validated datasets across bronze/silver/gold layers.
• Develop, implement, and maintain automated data quality checks, tests, and validation processes across data pipelines.
• Collaborate closely with data engineers, domain team leads, and analysts to translate business requirements into well-defined data models and metrics.
• Perform sanity and reconciliation checks to identify and resolve data inconsistencies, duplicates, and missing values.
• Contribute to the semantic layer: define and maintain consistent, well-documented metrics and dimensions used across BI and reporting.
• Document data models, quality issues, root causes, and resolutions to improve overall data governance and discoverability.
• Support analysts by providing reliable, well-prepared datasets, reducing their need to work directly with raw data.
• Contribute to the design and improvement of data workflows, orchestration, and automation around data quality and transformations.

Kenntnisse

SQL

dbt

Python

Airflow

Data modeling

Data quality

Collaboration

Problem-solving

Ausbildung

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Apache Iceberg

Trino

Apache Druid

Snowflake

Redshift

GitLab

dbt

Jobbeschreibung

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:

Limassol, Cyprus (employment contract)

Remote from Europe (service contract)

Reporting to:

Team Lead Product Analyst

What you will do:

• Design, develop, and maintain data models and transformations (dbt) that turn raw lakehouse data into clean, validated datasets across bronze/silver/gold layers.
• Develop, implement, and maintain automated data quality checks, tests, and validation processes across data pipelines.
• Collaborate closely with data engineers, domain team leads, and analysts to translate business requirements into well-defined data models and metrics.
• Perform sanity and reconciliation checks to identify and resolve data inconsistencies, duplicates, and missing values.
• Contribute to the semantic layer: define and maintain consistent, well-documented metrics and dimensions used across BI and reporting.
• Document data models, quality issues, root causes, and resolutions to improve overall data governance and discoverability.
• Support analysts by providing reliable, well-prepared datasets, reducing their need to work directly with raw data.
• Contribute to the design and improvement of data workflows, orchestration, and automation around data quality and transformations.

What we need:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field or equivalent practical experience
• Strong SQL skills and hands‑on experience with data transformation tools (dbt strongly preferred)
• Proficiency in Python, including pandas for data analysis and validation
• Experience with ELT/ETL pipeline design, implementation, and maintenance, including orchestration tools (Airflow)
• Familiarity with data lakehouse and warehouse technologies (e.g., Apache Iceberg, Trino, Apache Druid, Snowflake, Redshift)
• Experience with data quality and testing frameworks (dbt tests, Great Expectations, Soda, or similar)
• Proficiency with Git (GitLab) for version control and collaborative development workflows (merge requests, code review, CI/CD)
• Strong understanding of data modeling concepts (dimensional modeling, star schema) and data quality best practices
• Experience working in cross-functional teams, communicating effectively between technical and business stakeholders
• Problem-solving mindset and attention to detail

Nice to Have:

• Prior experience in roles bridging data engineering and analytics
• Familiarity with financial data domains such as online payments, banking and reporting
• Experience with financial data domains such as online payments, acquiring, banking, and reconciliation/clearing reporting
• Familiarity with BI tools (Apache Superset or similar) and semantic layer concepts
• Exposure to streaming/CDC technologies (Kafka, Debezium)

The perks of being a payabl.er:

• Future‑Proof Your Finances: Once you’ve passed probation, we’ll kickstart your Provident Fund to secure your future.
• Grow with Us: Annual Learning Budget for professional development (eligible after probation)—because your growth is our growth.
• Wolt Your Way Through Lunch: €150 monthly Wolt allowance to keep you fueled and happy.
• Stay Active Your Way: Enjoy a SportsBenefits membership giving you access to a wide variety of gyms and sports facilities to support your active lifestyle.
• Drive in Style: After one year with us, you may be eligible for a company car—performance and availability permitting.
• Park with Ease: Complimentary parking space just steps from the office, so your commute is as smooth as your workday.
• Max Out Your Downtime: 25 days of vacation + public holidays, plus an additional 10 sick days.
• Shop & Save: Exclusive local discount card + tickets for exciting events like Beonix, basketball games, and more.
• Speak Like a Local: Join free Greek language classes, twice a week, open to all team members.
• Celebrate Together: We bring colleagues from all offices together for unforgettable company celebrations.
• Global Collaboration & Events: Opportunities to participate in international company events and initiatives, connecting with colleagues from all regions and contributing to a truly global community

Hiring Process:

• 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 60 minute conversation with our Chief Product Officer, and our CTO to gain further insight into our vision and business priorities.

Ready to Join Us?

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!

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.