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- Tasks: Join us to build scalable data pipelines and support FinOps transformation.
- Company: Work with a top-tier FinTech firm serving major global banks.
- Benefits: Enjoy hybrid work, competitive pay, and the chance to make an impact.
- Why this job: Be part of a digital transformation that shapes the future of finance.
- Qualifications: Experience in data engineering, Python, SQL, and familiarity with high-scale environments required.
- Other info: Contract role with flexible start date; ideal for tech-savvy problem solvers.
Our client is one with international reach and a highly regarded reputation that specialises in FinTech software for some of the largest banks in the world. They are in the middle of a major digital transformation — reimagining its core data infrastructure to power smarter decisions, faster operations, and better customer outcomes.
We’re hiring Data Engineers across multiple specialisms to help build high-throughput, scalable pipelines and lay the foundations for modern FinOps and MLOps capabilities. Whether your strength is MLOps, ETL/Data Lakes, or relational databases like Postgres, there’s a place here for deep technical ownership and meaningful impact.
Key Focus Areas:- Building model deployment pipelines and CI/CD for ML
- Working with DS teams to scale ML in production
- Working with Airbyte, Fivetran, Airflow, S3, Delta Lake
- Building data lakes and warehouse integrations
- Query optimisation, schema design, database tuning
- High-transaction FinTech workloads
- Data governance, replication, NoSQL experience a bonus
- Experience working with high-scale data environments
- Deep comfort with relational + NoSQL databases
- Ability to write production-grade code in Python, SQL, or similar
- Prior FinTech, SaaS, or consulting experience preferred
- Location: Hybrid (2 days/week in London ideally)
- Start: ASAP (flexible for the right candidate)
If interested in the Data Engineering Consultant position, please apply here and we will reach out if it's a good match for the client.
Data Engineering Consultant(s) | FinOps, Data Transformation | Contracts £500-800 per day – Out[...] employer: Owen Thomas | Pending B Corp™
Contact Detail:
Owen Thomas | Pending B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant(s) | FinOps, Data Transformation | Contracts £500-800 per day – Out[...]
✨Tip Number 1
Network with professionals in the FinTech space. Attend industry meetups or webinars to connect with people who work in data engineering roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Airflow, Fivetran, and Delta Lake. Having hands-on experience or projects showcasing these technologies can set you apart during discussions.
✨Tip Number 3
Prepare to discuss your previous experiences with high-scale data environments. Be ready to share specific examples of how you've optimised queries or designed schemas, as this will demonstrate your technical expertise.
✨Tip Number 4
Stay updated on the latest trends in FinOps and MLOps. Being knowledgeable about current developments in these areas can help you engage in meaningful conversations during interviews and show your passion for the field.
We think you need these skills to ace Data Engineering Consultant(s) | FinOps, Data Transformation | Contracts £500-800 per day – Out[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with FinTech and the technologies mentioned in the job description, such as Python, SQL, and data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key focus areas of the role. Mention your experience with model deployment pipelines, CI/CD, and any relevant projects that demonstrate your skills in high-scale data environments.
Showcase Technical Skills: In your application, emphasise your technical skills related to relational and NoSQL databases, as well as any experience with tools like Airflow, S3, and Delta Lake. Provide examples of how you've used these in past roles.
Highlight Relevant Experience: If you have prior experience in FinTech, SaaS, or consulting, make sure to highlight this in your application. Use specific examples to illustrate your contributions and the impact of your work in these areas.
How to prepare for a job interview at Owen Thomas | Pending B Corp™
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering tools and technologies, especially those mentioned in the job description like Python, SQL, and various data pipeline tools. Highlight specific projects where you've built scalable data solutions.
✨Understand FinTech Challenges
Familiarise yourself with the unique challenges faced by the FinTech industry, such as data governance and high-transaction workloads. Demonstrating knowledge of these issues will show that you understand the context in which the company operates.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about how you would approach building a data pipeline or optimising a database under pressure, and be ready to articulate your thought process.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's digital transformation goals and the specific role you'll play in it. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
