Data Engineer

We are Vitesse – the treasury and payment partner of choice for insurance. 
 
Formed in 2014 by a team of proven FinTech entrepreneurs, we are an FCA-regulated business providing global claim funds management and payment solutions. Operating one of the largest banking and payment settlement networks in the world, we give our customers direct access to 200 countries and currencies. Through a single integration, insurers can use this network to pay claims in as fast as 45 seconds and deliver a superior claimant experience. Our market-leading treasury proposition provides insurers with transparency and control over their claim funds, even when delegated to third-parties, allowing them to have their money in the right place, at the right time, to make that all-important payment when customers need it most. 
 
With over 240 employees across our London headquarters, Europe, and the US, $93m Series C funding secured, and exceeding £15bn in processed transactions, we are only just getting started. We are collaborative, customer centric and work with integrity, whilst partnering with some of the biggest insurance leaders including Lloyd’s of London and Many Pets. We take huge pride in our company culture, ensuring that everyone has a part to play, an opportunity to be heard, be involved, and the ability to make a real difference. As we continue to scale up, we want like-minded humans to join us on this exciting journey. Are you ready? 

THE ROLE  

As a Data Engineer, you will collaborate closely with our business and engineering teams to design, implement, and maintain data engineering solutions while ensuring security and data best practices. You will work on internal and/or Vitesse SaaS platform data initiatives. As a data engineer you will work with guidance from a senior data engineer within the squad. You will join a multidisciplinary squad of 5 data professionals within the organisations wider data team. We work remotely with regular contact time in our London based offices. 

YOUR RESPONSIBILITIES   

• Design, build, and maintain scalable data pipelines for batch and real time data handling large volumes of structured and unstructured data. 

• Develop, enhance, and optimize ELT processes to ingest, transform, enrich and publish data. 

• Build quality, trusted, secure data products for consumption in reporting, analytics and science. 

• Assure the privacy, security and legal compliance of data in data engineering. 

• Optimise data pipelines and queries for better performance and cost-efficiency. 

• Integrate data pipelines with monitoring and observability to proactively detect and resolve issues before they impact business operations. 

• Design and build data models for lake house storage and analytics. 

• Maintain CI/CD pipelines for data engineering. 

• Collaborate with business teams, product owners, analysts and data scientists to understand their needs and ensure availability of relevant data. 

• Capture and maintain data documentation enabling self-service communities to understand, assess and utilise reusable data assets. 

Requirements

Demonstrable experience: 

• Developing data processing pipelines in python and SQL for Databricks including many of the following technologies: Spark, Delta, Delta Live Tables, PyTest, Great Expectations (or similar) and Jobs. 

• Experience of developing data pipelines in visual ETL/ELT tools 

• Developing data pipelines for batch and stream processing and analytics. 

• Building data pipelines for at least one business domain. 

• Knowledge of data governance, privacy regulations (e.g. GDPR), and security best practices. 

• Delivering data engineering and designing for cloud native data platforms (AWS/ Azure/ Databricks). 

• Building DevOps pipelines for data engineering solutions using Terraform, GitHub, DevOps. 

• Working within highly agile multidisciplinary scrum teams in Scrum/Kanban. 

Desirable experience: 

• Domain knowledge from insurance, payments or equivalent domains. 

• Building and orchestrating data pipelines and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. 

• Building data pipelines to support AI/ML solutions created in Mosaic AI/ML Flow. 

• Background in software engineering 

Benefits

• 25 days Holiday per year (increasing by 1 day per years' service, up to 30 days) + Bank Holidays  
• Hybrid working arrangements – minimum 2 days in the office, Tuesday - Thursday 
• Contributory pension scheme  
• Enhanced Parental leave   
• Cycle to Work Scheme  
• Private Medical Insurance with AXA 
• Unlimited access to therapy sessions through our partner, Oliva   
• Discounted Gym membership through Gympass 
• Financial Coaching with Octopus Wealth  
• 2 days of volunteering leave per year  
• Sabbatical after 5 years’ service   
• Life Assurance - MetLife (UK employees only)
• Ongoing Learning and Development to support you reach your career goals  

Vitesse at our best – our values 

The Vitesse values are a true reflection of what it takes to thrive in our business, so it’s important to us that any employee who joins our business is aligned with these 3 attributes 

Confident Humility 

We don’t do ego and we know that unless we all win, none of us win. We admit when we’re wrong, ask for help and always think about the wider business before ourselves.

Driven to Succeed 

We see the opportunity ahead of us and we won’t stop until we fulfil the potential we know we have. We hold ourselves to high standards and deliver high quality outcomes for Vitesse and our customers.  

Tenacious Responsibility 

We take ownership for our actions and decisions, and face into the challenges that come our way. We are committed to seeing things through to completion, even in the face of adversity. 

We are an Equal Opportunity Employer We are committed to creating an inclusive environment that enables everyone to perform at their best, where we recognise the rights of all individuals to mutual respect and where there is an unbiased acceptance of others. Our policies and practices aim to promote an environment that is free from all forms of Unfair discrimination and values the diversity of all people. At the heart of our policy, we seek to treat people fairly and with dignity and respect. Please confirm if selected for an interview, what interview adjustments you would need? You can contact Clara Moretti-Greene on clara.moretti-greene@vitesse.io or in her absence contact our People Team PeopleTeam@vitessepsp.com.