Data Engineer

Posted 8 October by Sopra Steria

The Company

Our Specialist Private Sector team are experienced in a range of different markets including Banking, Insurance, Retail, Travel, Transport and Utilities. We help our customers develop, deliver and operationalise their digital transformation strategies. We work in true partnership with our customer, gaining a deep understanding of their business and technology issues.
Our capabilities and credentials across Private Sector markets enable the design, delivery and management of business transformation programmes. We help our clients respond to changing customer demands, keep ahead of the competition, and safeguard their systems from evolving business and technology risks.


The day job


Through your role in our Digital Technology team, you will take responsibility to contribute to our clients’ digital transformation initiatives, enabling more informed and timely use of data for business decisions and operations, in turn driving enhanced customer interactions and experiences.
This will be achieved through your skills in sourcing, quality enrichment and provisioning of data at the speed of business. Processing paradigms have shifted and our team is now delivering data pipelines which embrace data streaming patterns which process data 'in the moment’ and at the point of creation, encompassing a mix of operational and analytical activities to form a business action.

Our team is unique in that they have end-to-end responsibility for data which encompasses multi-channel customer contact, adopt prescriptive, adaptive, and automated analytics, gain exposure to leading edge technologies and agile business change delivery. We are seeking experienced and innovative people with either Utilities, Banking or Insurance exposure where you have gained an understanding of regulated environments and processes.


Key responsibilities:

  • Liaise with Stakeholders, contributing towards and reviewing business requirements, ensuring utilisation of available technology functionality from the data streaming perspective
  • Typically work independently on single or multiple projects or small components (workstreams) of larger projects that are multi-disciplined
  • Design, prototype and implement data streaming patterns which transform existing batch pipelines into near-real time contexts
  • Understand business processing within heavily regulated environments

Required skills
You need to have:

  • Demonstrable experience and expertise in technologies which include Streamsets, Confluent, Kafka, Spark Structured Streaming, Amazon Kinesis, InfoSphere streams and Oracle Streams as well as more traditional Change Data Capture technologies
  • Deep understanding of data integration, data quality and data governance patterns and frameworks
  • Data Analysis for Analytical extractions, manipulation and wrangling using applicable technologies
  • Experience of delivery in a fast-paced agile business change environment
  • Excellent verbal and written communication and engagement skills

It would be great if you also have:
Regulatory processing experience

  • Hadoop / SAS / Tableau / Python / Spark
  • Experience in a Utilities, Financial Services/Banking environment (preferred)

If you are interested in this role but not sure if your skills and experience are exactly what we’re looking for, please do apply, we’d love to hear from you!

Full time permanent
Location UK wide
Security Clearance Level PES4
Internal Recruiter Leanne
Salary £45,000 to £50,000
Benefits 25 days annual leave with the option to buy additional days, life assurance, pension, and generous flexible benefits fund

The Future of Work
We are driving the change in the future way of working at Sopra Steria and as a result, we are able to offer hybrid working patterns to employees. This allows our people to gain the right balance between their work and home life. It is important that people feel valued as part of our organisation with wellbeing being at the heart of what we do.
We are also keen to explore either part-time or more flexible working hours.

Required skills

  • Data
  • Data Analysis
  • Data Science
  • Hadoop
  • SAS

Reference: 44319712

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