Junior-Mid Level Data Engineer – Financial Services – London/Hybrid (2 days per week) – Up to £70K (DOE)
My client, a fast-growing and innovative Financial Services organisation, is looking for a talentedJunior to Mid-Level Data Engineerto join their expanding technology team. This is an exciting opportunity for someone looking to take the next step in their data engineering career while contributing to a company undergoing substantial digital and data transformation.
The successful candidate will be a proactive self-starter with the ability to work independently or collaboratively within a high-performing team. You'll play a crucial role as the bridge between the Data Science function and the core Data Engineering team, helping to translate analytical needs into robust, scalable data infrastructure.
The company fosters a culture of autonomy, innovation, and trust. You’ll have the opportunity to influence and lead the design and implementation of key components of the company’s data infrastructure. They’re not just looking for someone to follow established paths – they value fresh perspectives and are open to novel ideas, provided you can explain the reasoning behind them.
You’ll also work closely with stakeholders across the business, advising on data architecture and contributing to the strategic direction of their data ecosystem.
What You'll Be Doing:
- Designing, building, and maintaining robust data ingestion pipelines from various internal and external data sources
- Developing and managing data workflows to ensure reliable, scalable delivery of high-quality data to internal consumers and live production environments
- Implementing and maintaining data models, warehouses, and data lakes
- Working alongside the Data Science team to productionise machine learning models and analytical outputs
- Optimising data systems and building tools to support data access, quality, and reliability
- Ensuring data compliance, security, and governance standards are upheld
- Contributing to architectural discussions and technology selection within the data team
- Collaborating with stakeholders to understand data requirements and deliver solutions that support business goals
Required Skills & Experience:
- 2+ years of professional experience in a Data Engineering role
- Strong Python programming skills
- Hands-on experience with Databricks and Apache Spark
- Proficiency in working with NoSQL databases (e.g., MongoDB, Cassandra)
- Familiarity with cloud platforms (preferably Azure or AWS)
- Some exposure to Data Science or Machine Learning pipelines is desirable
- Strong problem-solving skills and a curiosity-driven mindset
- Excellent communication skills and the ability to manage relationships with technical and non-technical stakeholders
- A “leave it better than you found it” attitude – you're someone who takes initiative and continuously looks for ways to improve systems and processes
Why Join?
- Work in a highly technical and forward-thinking team that has real influence across the organisation
- Take ownership of meaningful projects with the freedom to innovate
- Be part of a business experiencing strong growth and invest in your long-term development
- Enjoy a supportive and flexible work culture
This role offers a genuine opportunity to shape the future of data engineering within a forward-thinking business. If you’re passionate about data, eager to make an impact, and ready for a new challenge – I’d love to hear from you.
