Data Engineer

Do you have

• proven experience with cloud-based technologies, preferably AWS and Snowflake, along with SQL, Python and/or R
• proven experience in data analysis, modelling, engineering, and development processes
• experience in putting pipelines into production
• experience of deploying data solutions and cloud infrastructure via CI/CD pipelines
• experience of conducting analytics with large structured and unstructured data sets
• previous experience working alongside Data Scientists or other such analytical roles
• experience of using data visualization tools e.g. Tableau
• financial services experience? Particularly within the pensions industry, would be advantageous but not essential.

Are you able to .

• work at pace and hit the ground running
• communicate at all levels and to translate technical jargon

This is an exciting opportunity for a Data Engineer to join our brand-new data business, Heywood Analytics, within Heywood Pension Technologies. Our aim is to become the leading provider of data-driven, technology-enabled solutions to the UK Workplace Pensions sector, and this role is at the forefront of that growth opportunity.

If you are eager to disrupt the pensions industry with us and make an impact, this could be the role for you!

The role

In this challenging yet important role, you'll be part of a small team whose mission is to maximise the value and promise of data and make it universally available. You'll work closely with architects, analysts and other key stakeholders to design, implement and integrate data pipelines from a variety of data sources, frequencies and latencies to build a data lake and warehouse.

Responsibilities include:

• Designing, developing, and operating solutions to ingest data from both internal and external sources, ensuring data exceptions/rejections are identified
• Building ETL/ELT scripts and routines to facilitate the movement of data across the analytics architecture and integrate them into our data warehouse solutions
• Performing extensive data analysis, testing outputs and products to the appropriate quality level and creating automated, repeatable tests
• Responding to and resolving problems in databases, data processes, data products and services as they occur
• Working with our data science colleagues to accelerate data development and move from prototype to production
• Providing end user support and training for the data products that our team creates
• Driving an automation first mindset within our organisation and solutions

About Us

Heywood Pension Technologies ( HPT ) combines a passion for software with Agile methodologies to create modern software solutions for businesses, pension providers and third parties that help transform how their members manage their lifelong financial journeys.

Working for an expanding established market leader, you will have a real voice to influence our evolution. Continued learning and progression is ingrained in our daily life, encouraged through a variety of forums from e-learning subscriptions and a monthly down-tools day ("Hive Day") and communities of practice for learning and experimentation. Our open culture encourages wide
participation and innovation.

We also reward our hard work through regular socials, organised by our people. Socials events include fiercely competitive bake-offs, Pride month office parties, sporting events, games nights and much more!

We are committed to a hybrid working model, combining remote and office-based working.