Who are Benefex? We are a fast-moving technology company, and one of the most successful providers of online reward and benefits solutions in the UK. We believe no one comes to work to do a bad job or be actively disengaged, and that technology is instrumental in providing an exceptional employee experience. We are striving to create seamless but tangible interactions between employers and employees, making work a rewarding place for every single one of us. To help us on our quest to be the best, we need brilliant people on board and that’s where you come in. Why should you apply? Challenge : Implement a scalable data platform to meet our internal and external analytics needs Impact : Be one of the first hires to help build a world class data engineering function. Scale : A key pillar of our global growth plan is data, allowing us to make better decisions and deliver more value to our users Top 10 Employer, Sunday Times Best Places to Work Awards Work for a profitable, fast-growing market leader in the online reward and benefits space Please note we are unable to offer visa sponsorship and require to people to be based in the UK or Ireland for this position Great benefits: £80,000-90,000 Tech setup of your choice (MacBook Pro or equivalent, monitors, etc.) £/€800 annual learning budget, plus two hours per week as ‘Focus Fridays’. Flexible work – choose a working setup that works for you, our only ask is to see you once a quarter in our UK HQ and you need to be based in UK, Ireland, Germany or the Netherlands ✈️ 25 days holiday plus your local bank holidays Your birthday off ❤️ Two half day wellbeing days Healthcare cash plan to cover the costs of day to day healthcare Employee Assistance Plan 24/7 365 support Income Protection (75%) and life assurance (4x salary) Pension scheme £50 monthly allowance to spend on whatever takes your fancy, your very own Benefex card will be topped up at the start of each month Role Overview As one of the first senior hires in Data Engineering, reporting into our Engineering Director, you will have the opportunity to lay the foundations for our data vision. We are at the start of our data journey at Benefex, and we recognise a strong foundational data platform is a key first step on that journey. Whilst we have data infrastructure on GCP in-place and used today, this is focused on one providing analytics to our customers. It’s not a data platform that has been designed with internal analytics in mind from the ground up. With the support of an interim consultant, you will help the platform architecture then build out the platform. Data engineers are the people who enable everyone at Benefex to produce and consume data by leveraging the capabilities of the data platform (services such as BigQuery, Airflow, dbt, Thoughtspot. Looker). They architect and implement the data platform infrastructure (e.g using Terraform, Docker), and use it to collect and protect data from across our internally owned and externally procured systems landscape, to make available for consumption. A focus on a great analytical developer experience is important as well, so they manage the tooling that makes it easy to produce and consume data products (and services) from data on the platform. Ultimately, they make it possible for Benefex to combine, enrich and consume data safely at scale so we can better achieve our company mission. Responsibilities The focus for the next 12 months will be: Design and implement systems and services on a GCP data platform that can support our initial scaling needs for internal and external analytics. You will work with our Head of Platform Engineering and Staff engineers to determine what our next steps should be in our data platform architecture. Craft a best-in-class data development experience for data professionals (data analysts, analytics engineers, data scientists). Partner with and understand the needs of your users to make it safe, easy, and possible for all data professionals to build data products with best practices baked in, automated as much as possible via our CI/CD process and developer environment. Drive implementation of operational excellence across all our data infrastructure and pipelines. Guide with best practices for instilling a culture of DataOps. Coach and mentor other data/software engineers, data analysts, and the broader business on data quality. Help other data engineers, analysts, or software engineers to understand the importance of good data creation principles and ensure we are capturing all the data we need in the correct formats and the correct latencies. What are we looking for? Technical proficiencies: Demonstrable experience of designing and building systems and services on a cloud-native data platform (preferable on GCP) at a startup (or scaleup) in the past, and supporting the development needs of data analysts, analytics engineers, and data scientists. Able to execute across the data engineering lifecycle (up-to transformation at minimum), from building data platform infrastructure to data modelling (via dbt ) in a cloud environment (e.g. BigQuery, Snowflake, Redshift, Databricks). Proven Python software engineering skills (e.g. an understanding of concepts such as decorators, generators, context managers, typing). Proven experience with SQL (e.g. parsing JSON files, complex joins, complex calculations using CTEs etc) and performance optimisation of queries. Ideally hands-on experience using infrastructure-as-code tools (e.g. Terraform, Pulumi, CloudFormation) and containerisation (e.g. Docker). General engineering traits that we look for: Taking ownership: A mindset of holding yourself and others accountable, someone who can be relied on in challenging situations, a bias to action. Passion for technology: Someone who invests in their craft and self learning, a continuous improvement mindset, a focus on best practices, and someone keen to see how new tools/technology can be applied to business problems. Open mindedness: Strong opinions loosely held, you're open to ideas, and seek feedback and input from others. Excellent communicator: An effective communicator to techncial and non-technical audiences, able to break down complex information into simple to understand language. Natural problem solver : someone who thrives on solving technical challenges, who has a methodical way to work through problems and offer pragmatic solutions Even if you don't meet all of the requirements for this role, we encourage you to apply We are looking for talented and passionate individuals who are eager to learn and grow. We also offer a variety of other roles, so please check out our careers page to see if there is something else that might be a good fit for you. Our interview process Benefex understand the need to have a fast and efficient process, the below will all be completed in the shortest time possible, typically a 2-2.5 week timeframe. Initial informal call with the Talent team ⏳ Interview with our Engineering Director 30-45 min Technical Task Technical Interview - 60 min Final interview with VP of Engineering - 30-45 min We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a diverse and inclusive workplace where everyone feels welcome and respected. We believe that diversity and inclusion are essential to our success, and we are proud to be an equal opportunity employer.