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payabl.

Analytics Engineer - Relocation to Cyprus

London
Posted about 14 hours ago
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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 with relocation support)

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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We offer a relocation package that will be discussed in the first interview with your Talent Acquisition Partner.

🧭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!

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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Skills

SQL
Data Transformation
Python
Data Analysis
Data Quality
ETL
Data Modeling
Cross-Functional Collaboration
Problem-Solving
Attention to Detail
Git
Data Governance
Business Logic
Data Workflows
Automated Testing
Data Pipelines

Location

London, England, United Kingdom

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