Data engineers
Role details
Job location
Tech stack
Job description
Data engineers are the people who enable everyone at Benifex to produce and consume data by leveraging the capabilities of the data platform (services such as Snowflake, Airflow, dbt and ThoughtSpot). 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 Benifex to combine, enrich and consume data safely at scale so we can better achieve our company mission., * Design and implement scalable data engineering pipelines and data models in our Snowflake data platform that can support our initial scaling needs for internal and external analytics.
- 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 self-serving data products with best practices.
- Drive the implementation of Test Driven Development (TDD), CI/CD, Infrastructure-as-Code, observability, monitoring and security practices across 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.
Requirements
- Demonstrable experience of designing and building data engineering pipelines on a cloud-native data platform (preferably on GCP or Snowflake) at a start-up (or scale up) in the past, and supporting the development needs of data analysts, analytics engineers, and data scientists.
- Demonstrated expertise in modern data architecture and modelling techniques, encompassing traditional dimensional modelling (star, snowflake and galaxy schemas), and graph data model
- 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.
- Experience with or knowledge of data pipeline orchestration tools (e.g., Apache Airflow, Dagster, Prefect) as well as monitoring and observability tools such as Grafana is desirable.
- 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 technical 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 to see if there is something else that might be a good fit for you.
Benefits & conditions
- 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 month in the office and you must be based in the UK or Ireland.
Full access to our comprehensive benefits package, including discounts from hundreds of high street brands, salary sacrifice schemes across Finance, Health, Tech, and more
️ 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)
Referral bonuses
Enhanced parental leave package - 26 weeks fully paid maternity leave and 4 weeks fully paid paternity leave
️ Work from Anywhere policy for 90 days
️ Buy and Sell scheme for holidays
£50 monthly allowance to spend on whatever takes your fancy, your very own Benifex card will be topped up at the start of each month!
