At a Glance
- Tasks: Design and maintain data pipelines, APIs, and support frontend development using React.
- Company: Global tech company focused on innovative data solutions with a collaborative culture.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on cloud-native data infrastructure and career advancement.
- Why this job: Join a mission-driven team tackling impactful data challenges on a global scale.
- Qualifications: Experience in AWS, Python, SQL, and ETL/ELT pipeline design.
The predicted salary is between 40000 - 45000 £ per year.
A Data Engineer role within a globally operating, cloud-first technology business with a focus on AWS, Python, SQL and Redshift or Snowflake across a multi-domain data platform.
Hybrid working, Belfast based. Salary £40,000 to £45,000. UK work authorisation required.
About the Company
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.
The Role
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.
Key Responsibilities
- 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.
What You'll Need
Essential:
- Hands-on AWS cloud engineering experience.
- Strong Python skills including tooling and packaging.
- Strong SQL knowledge with proven experience in data querying and manipulation.
- Proven experience designing and implementing ETL and ELT pipelines.
- Experience with Redshift, Snowflake or both.
- UK work authorisation.
Desirable:
- 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.
Why Apply?
- Salary of £40,000 to £45,000.
- Work on a globally significant data platform across multiple high-value business domains.
- Collaborative, engineering-led team with a clear mission and strong technical standards.
- Hybrid working within a business investing seriously in cloud-native data infrastructure.
- Varied role spanning pipeline engineering, API development, data modelling and frontend contribution.
Engineering Data Hub Engineer 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.
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We think this is how you could land Engineering Data Hub Engineer in Belfast
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Engineering Data Hub Engineer in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocho, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocho. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocho
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocho!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
