Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytical Engineer

Yapily
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer | Commodities & Energy Trading | ClickHouse-Centric Data Platform | Next-Gen Lakehouse | Python, SQL | Up to £89K + Bonus + Benefits

Machine Learning Engineer (Databricks)

Data Scientist

Data Scientist

Data Scientist

Data Engineer - Hereford - SQL - Python - £70K

Who are Yapily

Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking.

Yapily is an open banking infrastructure platform solving a fundamental problem in financial services today: access. Historically, card networks have monopolised the global movement of money, and banks have monopolised the ownership of, and access to, financial data.

Yapily was founded to challenge these structures and create a global open economy that works for everyone. We exist behind the scenes, securely connecting companies - from growth to enterprise - to thousands of banks worldwide, enabling them to access data and initiate payments through the power of open banking.

What we’re looking for:

We are currently looking for a Data Analytical Engineer to join our team, the role plays a crucial part in the management and transformation of data to support decision-making processes within our organisation. The job entails an intersection between data engineering and data analysis, ensuring that data is accessible through Looker (BI Tool), and maintaining and adding to the business logic for our current metrics using DBT, additionally the candidate will play pivotal role in the commercial team and Finance team, by helping price new products and reviewing contracts and ensuring that clients are invoiced correctly.

We are looking for someone who ideally has experience of working in a Data Team and is proficient with DBT, Bigquery and Looker. 

Learn more:https://www.yapily.com/company/about-

Requirements

  • Building new processes to map Data to billable events and KPIs, working with Data engineers to ensure this.
  • Data Mapping, managing the definition and Business logic for KPIs for the company, across Product team, Operations team, Commercial and Customer Success teams, using DBT and Look-ML.
  • Will be in charge of dashboarding and will be the owner of Looker, the company’s BI tool.
  • Billing infrastructure & System, ensuring all clients are billed correctly according to contracts and in charge of invoicing and revenue stats. 
  • Working with finance, to help calculate commissions & NDR.
  • Working with legal to map contracts onto the current billing system, this may include introducing innovative ways to ensure we can bill clients for new products. 
  • Helping Operations to forecast revenue and cost. 
  • Compliance, working closely with compliance to report Data to Regulatory bodies.
  • Dashboarding, in charge of dashboards to key stakeholders, such as management and finance.
  • Responsible for all the data across various systems to be accurate, includes pushing data to different systems.

The ideal candidate has…

  • A minimum of 10 years of relevant working experience.
  • Experience of working with Looker, Look-ml code.
  • Experience with DBT.
  • Experience with SQL & Big query.
  • Experience with Python.
  • Excellent communication and presentation skills.






Benefits

Why You’ll Love Working With Us

  • Competitive Pay & Equity – We offer a great base salary plus equity, so you’ll own a part of what we’re building together.
  • Generous Time Off – Enjoy 25 days of holiday each year (plus bank holidays if you’re in the UK), and earn an extra day each year after your first, up to 5 more!
  • Hybrid Working – Life’s about balance. All we ask is for 2 days in the office every week.
  • Nomad Working – Feel like a change of scenery? Work from anywhere or up to 30 days each year.
  • Family First – We offer enhanced Maternity and Paternity leave because your family matters.
  • Private Medical Insurance – You’ll get cover through BUPA, because your health is a priority.
  • Mental Health Support – Access personalised mental wellness support through our award-winning partner.
  • Future-Ready Perks – Including a solid company pension, life assurance, and income protection.
  • Learn & Grow – A £200 annual budget for learning and personal development. Invest in you!
  • Cycle to Work Scheme – Commute the healthy way with support from our cycle to work programme.
  • Perks Hub Access – Enjoy exclusive discounts and offers through the Yapily Benefits Hub.
  • Refer a Friend – Bring someone great onboard and earn £1,000 with our referral scheme.
  • Team Vibes – Monthly socials, team lunches, and a budget to hang out and have fun (yes, pizza included 🍕).
  • Office Snacks & Doggies – Daily snacks to keep you going, and yes – we’re proudly a dog-friendly office 🐾.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.