At a Glance
- Tasks: Design and maintain data pipelines, APIs, and contribute to frontend development.
- Company: Global tech leader focused on innovative data solutions.
- Benefits: Hybrid working, competitive salary, and investment in cloud-native infrastructure.
- Other info: Join a collaborative team tackling large-scale data challenges.
- Why this job: Make a real impact on a world-class global data hub.
- Qualifications: Experience in AWS, Python, SQL, and React required.
The predicted salary is between 63000 - 77000 £ per year.
Data Engineer role within a globally operating, cloud-first technology business.
AWS, Python, SQL and Redshift or Snowflake focus across a multi-domain data platform.
Hybrid working, Belfast based.
Our client is a well-established, globally operating business delivering complex data solutions across multiple high-value domains including claims, underwriting and distribution. With a clear mission to build a world-class global data hub and a collaborative engineering culture, this is an organisation where data engineers can work on meaningful, large-scale platform challenges that have a direct impact on how the business operates worldwide.
A hands-on Data Engineer position embedded within a specialist data team responsible for the ingestion, curation and delivery of data across four key domains: Claims, Account, Broker and Submissions. You will design, implement and maintain ETL and ELT pipelines, build data egress patterns and APIs, contribute to data modelling work and support lightweight frontend development using React. Working in AWS with strong SQL and Python skills, this role suits an engineer who takes pride in building reliable, well-governed data infrastructure at scale.
- Design, implement and maintain ETL and ELT ingestion and transformation pipelines across Claims, Account, Broker and Submissions domains.
- Implement data egress patterns, APIs and metadata services to enable reliable access for global reporting and consuming teams.
- Contribute to data modelling and integration work to ensure standardised structures across domains.
- Support lightweight React frontend contributions for data discovery and operational tooling.
- Collaborate on cloud architecture and platform engineering tasks in AWS including automation, CI/CD and observability instrumentation.
- Work with consuming teams to reduce bottlenecks and improve data accessibility through automation.
- Contribute to data governance, controls and the correct use of the data lake across informational and operational data.
Hands-on AWS cloud engineering experience.
Strong Python skills including tooling and packaging.
Strong SQL knowledge with proven experience in data querying and manipulation.
Experience with TypeScript.
Familiarity with observability tools including logging, monitoring and tracing.
Experience with data modelling and metadata tooling.
Experience with API design and implementation.
React frontend development skills.
Work on a globally significant data platform across multiple high-value business domains.
Hybrid working within a business investing seriously in cloud-native data infrastructure.
Varied role spanning pipeline engineering, API development, data modelling and frontend contribution.
Senior Engineer, Data Engineering in Belfast employer: Ocho
Join a forward-thinking UK technology company that is at the forefront of AI innovation, where you will have the opportunity to develop your skills in a supportive and fast-paced environment. With a strong emphasis on mentorship from senior engineers, flexible working patterns, and the chance to own your projects early on, this role offers a unique pathway for professional growth in AI engineering. The company's commitment to an AI-first culture ensures that you will be working with cutting-edge tools and technologies, making a real impact in complex customer environments.
