At SteelEye, data is at the epicentre of all that we do. We are first and foremost a Data Analytics platform which allows our customers to get more comprehensive insights on their data, we help financial institutions such as Investment Banks, Hedge Funds, Brokerage Firms, Asset Management Firms to comply with financial regulations.

Our Data Integration team is integral to our offering. Data Integration is essentially a team of Python developers. We are responsible for designing every data ingestion solution regarding MiFID, MiFIR, EMIR or Communications. When SteelEye receives data, we are the team that ensures that the data gets transformed to meet both our customers requirements and our database schemas.

PRIMARY RESPONSIBILITIES INCLUDE:

• To support the Data Integration team to transform data to meet both business requirements and our database schemas and ingest it into our engine. Should be able to pick line items and deliver.
• Interact with different functional areas across Engineering
• Working extensively with Integration Management team and Product Specialists
• Developing an understanding of the needs of other teams and also responsible for explaining needs of Data Engineering Team
• Writing, Maintaining, Expanding Code
• Contributing and part of the analysis of creating specifications
• Prioritising your own workload
• Code Reviews

ON A DAY-TO-DAY BASIS YOU WILL

• Write, maintain and review code
• Work with other departments to perform data remediation and assist in writing specifications for new integrations
• Transform data to meet customer requirements
• Design data ingestion solutions
• Assess and design Pydantic schemas and export to Elasticsearch
• Plan ETL pipelines and implement them leveraging the Prefect framework

WHY THIS ROLE IS RIGHT FOR YOU:

This role is perfect for an individual who has good technical knowledge and exposure to end to end stack. You will have an inquisitive mind and proactive approach to problem solving and issue resolution. This is a great opportunity to join a high growth company and have a meaningful impact on the company’s future performance. By joining a start-up, you will instantly become a valuable member of the team. At SteelEye, you will also have ample opportunity to develop and learn through both formal and informal training, opening many potential channels for progression.

QUALIFICATIONS:
You do not need to have experience in the FinTech/RegTech industry. However, we expect at least a Bachelors Degree in Computing (or equivalent experience) combined with strong Python coding skills, with the ability to grasp an understanding of RegTech.

Previous experience in a technical role

Essential

Previous experience in a technical role
Jira, Confluence, Zoom, Slack, Outlook
Coding in Python
Python Libraries, AWS, Cloud, (Pandas, Numpy)

Desirable

AWS, Kubernetes and Docker
Elasticsearch and Natural Language

What we are looking for from you:-

• You’re structured and organised, able to handle the competing pressures of immediate tasks alongside longer-term projects
• You will have strong communication skills in the way you interact cross-teams, model and document your work well as review and give feedback on others’ work
• You enjoy group work and working independently in a fast-paced, contantly changing environment, and are willing to take ownership and responsibility of key business processes
• You have an inquisitive mind and proactive approach to problem solving and issue resolution
• A self-starter who can take responsibility for getting the job done

WHY THIS ROLE IS RIGHT FOR YOU:

This role is perfect for an individual who has good technical knowledge and exposure to end to end stack. You will have an inquisitive mind and proactive approach to problem solving and issue resolution. This is a great opportunity to join a high growth company and have a meaningful impact on the company’s future performance. By joining a start-up, you will instantly become a valuable member of the team. At SteelEye, you will also have ample opportunity to develop and learn through both formal and informal training, opening many potential channels for progression.

Interview Process: The interview process is structured to assess candidates thoroughly across various competencies and skills relevant to the role. Here's a description of each stage:

• CV Review
• First Stage Overview Interview with one of our senior Data Engineers and Technical Test
• Final Interview with our Head of Data Engineering

About SteelEye:

SteelEye is a dynamic B2B FinTech company dedicated to enabling financial institutions, including banks, investment firms, brokers, hedge funds, and asset managers, to efficiently and accurately meet their regulatory obligations under various global financial regulations. As the finance industry’s pioneering integrated trade and communications surveillance solution, SteelEye empowers financial firms with data-driven tools and comprehensive insights, all from a single platform, allowing them to focus on what truly matters.

At SteelEye, we pride ourselves on fostering a diverse, equitable, and inclusive workplace where everyone's contributions are valued. We are committed to being an inclusive employer, embracing individuals of all races, religions, gender identities, sexual orientations, national origins, ages, socioeconomic statuses, medical conditions or disabilities, and other protected statuses. We actively seek talent from diverse backgrounds, experiences, personalities, and perspectives, believing that our differences drive innovation and success.