Data Engineer

At Verto, we're on a mission to democratise global finance and empower businesses in Emerging Markets to reach the world. Founded by British-Nigerian entrepreneurs Ola Oyetayo and Anthony Oduu, our roots in Africa provided a firsthand understanding of the significant challenges businesses face with cross-border payments, from illiquid currencies and high fees to slow transactions. This deep-rooted insight is why Africa remains a core focus, as we're committed to bridging the gap between emerging and developed markets and fostering global economic growth.

What started as an FX solution for the Nigerian Naira has evolved into a market-leading platform, enabling thousands of businesses to seamlessly transfer billions of dollars annually. We believe that where you do business shouldn’t determine your success or ability to scale. We're creating equal access to the easy payment and liquidity solutions that are already a given in developed markets.

We're not alone in realising this crucial need; we're backed by world-class investors including Y-Combinator, Quona, and MEVP. Our impact has been recognised with accolades such as 'Fintech Start-Up of the Year' and the Milken-Motsepe Prize, a testament to our role in powering payments for some of the world's most disruptive startups. Join us as we continue to grow and transform global finance.

This role is critical for building, optimizing, and maintaining Verto's data infrastructure and pipelines, ensuring reliable and high-quality data to drive our financial solutions.

About the Role

We are seeking a talented and motivated Data Engineer to join our growing team.

What You’ll Be Doing

• Enhance and optimize the Data Warehouse, implementing CI/CD for data processes.

• Conceptualize, design, and build scalable data architecture and models.

• Optimize ELT pipelines and ensure data integrity and quality.

• Define data governance and collaborate effectively across teams.

• Own the data engineering process from scoping to execution.

What You Need

• 3+ years of professional data engineering experience.

• Expert experience with data warehouses and ETL pipelines.

• Strong proficiency in SQL and Python.

• Expertise with Git for version control.

• Proven experience with various Cloud Data Platforms.

• Significant experience with automation, integration, and CI/CD tools.

• Clear communication and collaborative mindset.

Best If You Have

• Experience with AWS, Snowflake and Databricks.

• Worked in an early stage or growing stage start-up

• Experience within the FinTech/Finance/FX industry.

• Experience with real-time data pipelines.

• Knowledge of and experience with data observability tools.

We’re building more than just a team, we’re building a community of people who care deeply about their craft, collaborate with purpose, and enjoy the journey together.

General Perks

• Health & Life insurance, flexible work schedules, generous leave policy

Additional Perks

• Gym membership, free lunch, car lease policy and a professional development budget

You’ll Fit Right In If You

• Love asking “why?”

• Value solving problems over just completing tasks

• Understand sync vs. async communication practices

• Thrive in ambiguity and change

• Actively seek feedback

• Prioritise impact over activity

• Are fun to work with - we love good humour!

It will have (in no strict order) a chat with the talent team, an online assessment round, a hiring manager interview round and a panel round (with case study)