The business is expanding internationally and is looking for an analytical, curious and technically minded Data Engineer to join its growing team.
This is a great opportunity for someone who enjoys working with data, solving problems and understanding how different systems and business processes connect. Youll work closely with clients in the investment and research space, helping to build, configure and support customised data solutions.
What Youll Be Doing
- Configure and implement data solutions for clients.
- Understand client business requirements and translate these into practical data solutions.
- Build end-to-end data services and data management solutions.
- Work directly with clients in a support and enhancement capacity.
- Analyse, clean, transform and validate financial-market data.
- Contribute to the design, development, testing and maintenance of data architectures.
- Work with databases and large-scale data processing systems.
- Develop solutions that improve data reliability, efficiency and quality.
- Combine data from multiple sources and build complex queries.
- Automate processes and improve existing workflows.
- Work with data visualisation tools to help business users understand and interact with their data.
- Collaborate with the Development team by providing feedback on functionality and logging issues.
- Assist with creating user interfaces that allow clients to upload and manage their own data.
Technical Skills
Were looking for someone with a solid technical foundation in areas such as:
- SQL and database scripting.
- Data analysis, modelling and transformation.
- Data cleaning and integrity checking.
- Excel or similar reporting tools.
- Stored procedures, queries, functions and triggers.
- Data integration and transformation.
- Debugging, testing and refactoring.
- Combining data from multiple sources.
- Data visualisation, ideally with tools such as Power BI, Tableau or QlikView.
Advantageous, but not essential:
- API integration / consuming APIs.
- Experience with a programming language.
- ETL or Data Warehousing knowledge.
- SSIS.
- R, MATLAB or other statistical languages.
- Experience working with financial or investment data.
Qualifications
A relevant tertiary qualification in one of the following areas would be ideal:
- BSc Computer Science
- B.IT / Informatics
- Mathematics / Applied Mathematics
- Actuarial Science
- Engineering
- Or another closely related quantitative/technical degree
Graduates and early-career candidates with the right analytical and technical foundation are encouraged to apply.
What Were Looking For
More than anything, were looking for someone who:
- Has a genuine passion for learning and developing their technical knowledge.
- Enjoys solving complex problems.
- Is analytical and naturally curious.
- Can work independently and manage their own workload.
- Communicates clearly and confidently with both clients and colleagues.
- Is a strong team player.
- Is adaptable and comfortable learning new technologies.
- Can structure and prioritise work effectively.
- Consistently delivers against deadlines.
- Enjoys working in an agile and collaborative environment.
Industry Experience
Experience in technology, information services, financial services or asset management would be beneficial, with asset management experience being a distinct advantage.
The Opportunity
- Fully remote
- Market-related salary based on experience and technical proficiency
- Exposure to sophisticated data solutions and financial-market data
- Direct interaction with clients
- Opportunity to work across both data engineering and business-facing projects
- Excellent opportunity for a graduate or junior Data Engineer looking to build a career in a specialised environment
Interested? Send me your CV and Ill be in touch if your experience and background align with the opportunity.
Recruitment Process
The initial process is straightforward:
- Your CV will be reviewed.
- If your profile is shortlisted, Ill be in touch to discuss the opportunity and next steps.