Data Engineer

Overview

Competitive Salary £45,000-£55,000: plus, company bonus, hybrid working, enhanced benefits - including unlimited paid annual leave, private healthcare, pension, discounted gym membership and more

We are currently looking for an outstanding experienced Data Engineer to join our growing engineering team. This is a broad role not only supporting our blue-chip private sector and public sector clients in delivering cutting-edge data solutions but also supporting Profusion to create and scale next generation products.

The ideal candidate is a Data Engineer with working SQL and Python skills and experience in designing and maintaining ETL pipelines. The candidate should have proven problem solving, investigative and analytical abilities.

Team members will have good potential for personal and career development, learn from and share knowledge with a range of talented, highly skilled, and internationally diverse team of colleagues. All of this while embarking on an exciting journey with a pioneering, fast-growing company situated at the heart of London’s Tech City.

Key Responsibilities

This is a team-based role, where the project work is varied and shared amongst other engineers so you will not just be focused on one part of the process. Being able to see the big picture and work collaboratively is critical.

• Working with a team of data engineers, analysts, and consultants amongst other stakeholders to identify and implement the best solutions.
• Participating in the architecting, development and building of data engineering solutions.
• Implementation and maintenance of data pipelines as per business requirements.
• Conducting regular testing and QA workflows.
• Debugging failing processes and identifying points for resolution.
• Contributing to internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.

Personal Specification: Knowledge, Experience and Skills

We are looking for an experienced candidate with relevant prior experience in Data Engineering. As a small company, Profusion prides itself on its fun, inclusive and social culture. This hybrid role allows flexibility with office time, and our space is conveniently located in London near Old Street. Unfortunately, we are currently not able to sponsor this role.

Knowledge & Experience

• Self-driven and enthusiastic about technology.
• Working knowledge and experience of Python programming.
• Working SQL knowledge.
• Experience creating ETL and/or ELT pipelines.
• Data Lakes, Warehouses and Lakehouses.
• Experience in database design (table schemas, indexes, primary/foreign keys, updating logic, data purging logic etc).
• Working within Agile frameworks.
• Familiarity with modern DevOps practices (i.e. Version Control, CI/CD).
• Testing and QA methodologies.
• Cloud computing (preferably AWS).

Skills & Competencies

• Excellent problem-solving skills, with the ability to break down technical challenges by applying effective research skills.
• Strong organisational and time management skills.
• Excellent interpersonal skills and the ability to work in a team environment.
• Effective communication skills, with the ability to support client meetings.
• Client focused, with the ability to interpret and understand client needs and support outcomes.
• The ability to understand the wider company context, goals, objectives and where data engineering can add value.
• Familiarity with working within a consultancy framework is preferable.

Diversity and Inclusion

Profusion is committed to equality, diversity and inclusion and we embrace difference in a serious way. We welcome applications from all sections of the community, and we are committed to building a team with a variety of backgrounds, skills and views and guarantee an interview to disabled candidates who meet the criteria in our person specification. We are also committed to providing support through training and development to successful applicants who are returning to work after any career gaps due to caring responsibilities. If reading this job description has given you any doubt about whether you’d feel welcome or included at Profusion then we’d really like to hear from you about it, so we don’t do it again.

How to Apply:

If you are passionate about a career in data and you meet the requirements above, please complete the application form and upload your CV on our careers page (Closing date for applications is 21st March 2025).

Please note that because of the high number of applications we typically receive, it is not possible to answer everyone in person; successful candidates will hear from us within 2 weeks of the closing date. This will be a two-stage interview process with a technical proportion.

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