Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer

Taptap Send group
London
2 weeks ago
Create job alert

Our Mission
Reduce inequity by helping immigrants move money home, and become the leading cross-border fintech for emerging markets.

The Team
-> Founded by Harvard grads / 3rd-time founders --- also founded Segovia (successful exit) and GiveDirectly (>300M revenue, fastest-growing NGO).
-> Top performers from top and varied organizations (e.g., Bain, Bolt, Google, McKinsey, SafeBoda, Uber, Zipline) --- we like moving fast, and we hire people that do as well.
-> Driven by mission, guided by values (see below) – in deed, not just word.
-> Team as global as the mission, >30 languages from 25 countries (i.e., if you’re interested in learning to make Chicken Moambe, we’re the place).

About Us
Taptap Send is backed by top VCs (Spark, Canaan, Reid Hoffman, Breyer Capital, etc.), rapidly growing and a great place for those looking for both impact and a fast-paced tech startup environment. Read more about the journey in Reid Hoffman’s words or TechCrunch article

Launched in 2019, Taptap is tapping into a transformative shift in global finance: from banks to phones. While this has affected wealthier countries as well, it has been nothing short of a revolution for the emerging markets where the overwhelming majority of population had been unable to access digital finance previously. Taptap Send allows immigrants to send money home instantly and with no fee*, saving money in the process. With a formal market size of >700B alone, we’ve got a lot more saving to do for our users. Our mission is to reduce inequity by helping immigrants move money home, and become the leading cross-border fintech for emerging markets. And that’s just the beginning...

*We charge fees for transfers on fixed exchange rate corridors (e.g., XOF, XAF).

Our Investors
Spark Capital, Canaan, Reid Hoffman, Breyer Capital (Jim Breyer), Unbound (Shravin Mittal), Wamda (Fadi Ghandour), Firstminute Capital, Slow Ventures (Sam Lessin), Helios Partners (Souleymane Ba), Crossbeam Ventures (Ali Hamed), Nikesh Arora, Samih Toukan, and many other context-specific angels

The Role

As a Senior Data Engineer, you will create components of a modern data platform that will be the foundation of Taptap Send’s decision-making ability. The systems you help create and the problems you help solve, will be pivotal to the success of TTS.

This role is key to the success of TTS. You will play a critical part in the functioning of every team, with stakeholders ranging from customer success, growth, markets, product, and finance.

The Data Engineer will be implementing critical data pipelines, and innovating and improving infrastructure to support these pipelines while advancing best practices in privacy and data and information security.

Responsibilities

  • Apply automation mindset and DevSecOps principles to data systems and architectures

  • Integrate with APIs of 3rd party data sets to enable data pipelines and reporting use cases

  • Build data systems and pipelines using SaaS systems like AWS and DBT Cloud

  • Build solutions to various business objectives using your technical skills and your extensive understanding of the TTS data landscape

  • Collaborate with the product engineering team and the data analytics team, serving as a bridge between the two.

  • Analyse and organise raw data

  • Prepare data for prescriptive and predictive modelling

  • Explore ways to enhance data quality and reliability

  • Collaborate with data scientists and analysts on several projects

Requirements

  • Knowledge of programming languages (e.g. Java, Python)

  • Hands-on experience with relational databases (like PostgreSQL) and data warehouses (like AWS Redshift)

  • Familiar with data modeling and data governance concepts, and agile methodologies

  • Familiarity with industry toolsets: Stitch, DMS, etc…

  • Statistics knowledge, analytical skills, and an understanding of big data technologies

  • Previous experience as a data engineer or in a similar role

  • Technical expertise with data models

  • Great numerical and analytical skills

  • Experience with event-driven and streaming data architectures (using technologies such as Apache Spark, Flink or similar)

  • Degree in Computer Science, IT, or similar field; a Master’s is a plus or four years' equivalent experience

Taptap Values

Impact first

Team next

Accept reality

Propose solutions

Win with grit

Be proactively candid, with yourself and others

Love the particular

Own it

Create positive energy

Maybe, even have fun

Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.

If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.

Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.