Job Description
BELONG. There’s no place like Principality.
Our home is your home. So, when you decide to join the team, we’ll go further to bring you the warmest of welcomes. From a friendly and inviting environment to a flexible benefit package designed around you – when it comes to belonging, there really is no place like Principality. We keep it flexible wherever possible; we encourage you to look after yourself; we do our bit in the communities we serve and support you in doing the same, and we promise to get better together.
Some reasons you may want to consider working with us; we have an award-winning flexible/hybrid working policy, we’re a 2022 winner of UK Best Large Workplaces for Women, we have a newly refurbished hi-tech office in the centre of Cardiff designed around colleague feedback, we ranked number 6 for wellbeing in 2022, we have an extensive financial and well-being benefits package ‘’Belong’’ designed to put our people first, we have consistent colleague engagement scores of over 85% and a caring community of supportive Networks.
We are hiring a Senior Data Engineer to join a newly developed team. This role is integral for driving the strategic vision of our data services function, ensuring the efficient and secure handling of PBS data, and fostering a collaborative and innovative team environment.
The Senior Data Engineer is a key member of the Data Engineering team with responsibility for leading a team of data engineers, and the development, testing, delivery, and ongoing usage of Principality’s cloud Data & Analytics platform.
Responsibilities:
* Lead a team of data professionals in delivery of cloud-based data platform developments
* Build and test data solutions to prepare structured and unstructured datasets for use in regulatory, analytics and warehousing pipelines
* Data analysis and synthesis, applying a range of techniques for data profiling
* Contribute to building our DataOps culture
* Platform tools and technology ownership ensuring effective investment and utilization of technologies employed
Technical Skills Required:
* Cloud technologies (e.g., Fabric, Azure, ADF, Snowflake, Databricks)
* Experience of data integration and modelling for big data architectures
* Proficiency in open source (e.g., Python, R) and proprietary tools (e.g., SSIS)
* Data quality management tools & platforms (e.g., Experian Pandora or similar)
* Data lineage mapping / metadata management tooling (e.g., Collibra / Informatica or similar)
* Data analysis / querying (e.g., MS SQL or similar)
The successful applicant for this role will have experience in data automation and DataOps theory/practice, a good understanding of legacy data ecosystems, and advanced working SQL knowledge. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and strong leadership and team management capabilities are essential.
‘’We are passionate about creating an inclusive workplace where diversity is celebrated and where colleagues feel a sense of belonging’’ - Daniel Priest, Manager.
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