Senior Data Delivery Engineer

Are you ready tochart your own career path With our refreshed strategy were building on our rich heritage and transforming our business to be more scalable and efficient unlocking the capabilities needed for future success. This includes significantly investing in technology streamlining the way we work and creating an environment where colleagues feel engaged empowered and accountable; where they can show up speak up and perform - because we believe in the difference our work makes.

At a glance:

Location: Cirencester Office

Workplace Type:Hybrid

Employment Type: 12 month Fixed-Term Contract

Seniority:Mid-Senior Level

About the role:

Reporting to a Data Platform Product Owner in the Data Architecture Platform & Engineer division of the Data & Insights (D&I) team the role holder will be responsible for designing implementing scalable data pipelines and systems allowing large datasets to be managed processed and analysed effectively. They will ensure that data flows are optimised data quality measurement is enabled and appropriate technologies utilised.

Throughout development they will ensure best practice standards are followed and all work aligns to the appropriate guidelines. They will ensure testing is carried out appropriately and assist the Data Platform team with enabling the implementation of principles and maintenance/improvements.

What youll be doing:

The role holder will mainly be supporting on the Data platform however other systems may also require support. Developing with the decommissioning roadmap in mind is crucial along with ensuring we are working to the over-arching data strategy.

You will work hands-on with the modern data stack to design build and optimise scalable data solutions. Using your expertise in Python for data engineering and analysis you will develop robust data pipelines applying a range of techniques and patterns to ensure efficient and reliable data delivery.

You will model and visualise data using a variety of tools to generate actionable insights while leveraging systems of record such as Salesforce to integrate and maintain high-quality datasets.

In addition you will design manage and optimise databases across platforms such as Snowflake SQL Server and MySQL supporting both OLTP and OLAP workloads. Through this you will ensure data is structured accessible and performant enabling effective analytics and informed decision-making across the business.

About you:

You will be an experienced data delivery engineer with a passion for data will astrong understanding of end-to-end data lifecycle management including the complexities of using data effectively to enable meaningful analytics. You will grasp how data moves from ingestion through transformation storage and consumption and recognise the challenges involved at each stage.

You will have experience of how modern Data Teams operate particularly how they design build and deliver Data Products using software engineering principles ensuring scalability reliability and value delivery to end users.

Essential Criteria:

Proven experience in data engineering and integration roles.
Expert in SQL and data querying alongside version control systems e.g. Git.

Experience with cloud platforms e.g. AWS Azure.
Strong knowledge of data warehousing solutions e.g. Snowflake Redshift.
Experience building ETL processes and knowledge of data modelling and warehousing patterns.

Experience with data integration tools:
Talend Mule Soft Matillion SSIS

Desirable Criteria:

Bachelors or Masters degree in Computer Science Data Engineering or a related field
Wealth Management experience

Whats in it for you

We reward youfor the work you do
whether thats through our discretionary annual bonus scheme that reflects bothpersonal and company performance…