Senior Data Engineer

Fleet, UK

Data Engineer Data Analyst SQL Developer Data Quality Engineer

RVU

Actively hiring

hackajob is partnering with RVU to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

The team/role

The Data and Analytics team within Tempcover provide a vital role in bringing data, MI and Insight to life for internal & external stakeholders and partners.

The Senior Data Engineer will be responsible for the design, build and maintenance of the cloud based data platform, supporting the wider business in making data-driven decisions. Leading the development and optimisation of data pipelines, data models and data quality controls, this role will require collaboration with data analysts and business stakeholders to translate data needs into scalable and reliable solutions.

Over the past 4 years, the data platform has continually evolved through the expansion of data models, integrations and underpinning technologies. This evolution is set to continue at pace as we refine our data ingestion solutions and expand our insight capability across the business.

What you'll be doing

Key Duties & Responsibilities:

Design, develop, and maintain robust data pipelines and ETL processes
Create and manage accurate and performant data models to support Tempcover’s analytical capability.
Propose and implement internal improvement initiatives to the data platform.
Lead proactive approach to performance monitoring/tuning.
Leverage cloud-based platforms to build a scalable data infrastructure.
Provide continued support to ensure high availability of data to the wider business
Work closely with analysts across MI, Marketing, Product and Pricing to understand data requirements and translate them into effective solutions.
Work with rigour to ensure data quality/accuracy.
Mentor and guide junior data engineers, providing technical expertise and project oversight.

What we're looking for

Advanced proficiency in SQL databases, including writing complex queries, indexing and query optimisation.
Experience of ETL tools such as Azure Data Factory, Google Cloud Dataflow, FiveTran, Databricks.
Solid understanding of data warehousing techniques; ETL/ELT processes and dimensional modelling.
In-depth knowledge of cloud-based data infrastructure (Azure, AWS, GCP).
Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Proficiency with Git/DevOps for version control and collaboration.

Beneficial.

API integration.
Knowledge of Python is beneficial.
Ability to work within a SCRUM agile development environment.
Understanding of visualisation and dashboard products (e.g. Power BI, Tableau, Qlik)

Benefits

We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to:

10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”
Employer matching pension contributions up to 7.5%
A one-off £300 “Work from Home” budget to help contribute towards a great work environment at home
Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life
25 days holiday (increasing with years of employment to 30 days) + 2 days “My Time” per year
Private medical cover, critical illness cover and employee assistance programme
A healthy learning and training budget
Electric vehicle and cycle to work schemes
Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected

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