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- Tasks: Lead the design and delivery of a scalable data platform for actionable insights.
- Company: Join Codat, a dynamic fintech empowering banks with innovative data solutions.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work culture.
- Why this job: Make a real impact by solving user problems and driving AI innovation.
- Qualifications: Experience in data engineering, C#, Python, and modern data tools.
- Other info: Fast-paced environment with excellent growth potential and a focus on teamwork.
The predicted salary is between 80000 - 120000 Ā£ per year.
Codat helps banks, financial institutions, and fintechs create stronger, dataādriven relationships with their business customers. Our platform makes it easy for banks to access, synchronize, and interpret data from customers' financial software, enabling critical use cases such as supplier onboarding for commercial card and virtual card programs, accounting automation, and underwriting business loans. We empower the world's largest financial institutions, banks, and fintechs to grow their share of wallet, reduce churn, and scale operations efficiently.
We are looking for a highly motivated, productāminded Staff or Senior Data Engineer to join our Insights team. As a technical leader, you'll blend strategic vision with handsāon delivery, building and evolving a scalable data platform that transforms raw data into a foundation for actionable business insights. You'll thrive in a fastāpaced, startupālike environment and be deeply motivated by solving user problems and creating real business impact.
What youāll do:
- Own the entire project lifecycle, from initial design to final delivery. This includes developing a deep understanding of the data domain to architect solutions that deliver genuinely actionable intelligence.
- Drive technical excellence and lead architectural decisions that improve our technology stack. You'll be instrumental in shaping our product, influencing the team's technical strategy, and fostering a culture of continuous improvement.
- Mentor other engineers of all levels, championing best practices and raising the team's bar.
- Proactively identify and prototype opportunities to embed AI into our core products to deliver novel value to clients. You'll also drive the use of AI tools to enhance engineering productivity and upskill others across the team.
- Collaborate effectively with technical and nonātechnical stakeholders, communicating complex concepts to influence our technical roadmap.
What youāll bring:
- Extensive experience with distributed systems, largeāscale data, and modern data engineering technologies.
- Deep expertise in a strongly typed language and the ability to quickly deliver value in C# and Python.
- Practical experience with tools such as Databricks Delta Lake, SQL, Spark, Dagster, DBT, Temporal, and Airflow.
- Proficiency in modern build and deployment processes, including automated, progressive continuous deployments in a cloudābased environment.
- A proven track record of building robust, reliable systems with a strong focus on observability, data quality, and operational excellence.
- Experience with containerization and orchestration technologies like Docker and Kubernetes.
- A strong desire to learn a new business domain and use that dataācentric understanding to influence product design.
Company Values:
- United - you focus on 'we' over 'me', you lead your team and colleagues to solve problems together.
- Unstoppable - action orientated, you get going, embrace challenges, provide clarity in ambiguity, and elevate everything around you to new levels.
- Useful - You focus on solving real problems for our customers, you consistently look to innovate and are not limited by the 'scope' of your role.
Compensation Range: Ā£100K - Ā£140K
Seniority level: MidāSenior level
Employment type: Fullātime
Job function: Information Technology
Location: London, England, United Kingdom
Staff Data Engineer in London employer: Codat
Contact Detail:
Codat Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Staff Data Engineer in London
āØTip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes itās not just what you know, but who you know that can help you land that dream job.
āØTip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
āØTip Number 3
Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing real examples of how you've tackled problems and delivered solutions.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, weāre always looking for passionate individuals who want to make an impact!
We think you need these skills to ace Staff Data Engineer in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff Data Engineer role. Highlight your expertise in distributed systems and data engineering technologies, as this will catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of past projects where you've made a real impact.
Showcase Your Technical Skills: Donāt shy away from detailing your experience with tools like C#, Python, and Databricks. We want to see how you've used these technologies to solve problems and drive results in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. Itās the quickest way for us to see your application and get the ball rolling!
How to prepare for a job interview at Codat
āØKnow Your Data Inside Out
Before the interview, dive deep into the data engineering concepts relevant to the role. Familiarise yourself with distributed systems, large-scale data handling, and the specific technologies mentioned in the job description like C#, Python, and Databricks. This will not only help you answer technical questions confidently but also demonstrate your genuine interest in the position.
āØShowcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you drove technical excellence or mentored others. Being able to articulate these experiences will highlight your ability to influence product design and improve team performance, which is key for this role.
āØCommunicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms. Since the role involves collaborating with both technical and non-technical stakeholders, being able to communicate effectively will set you apart. Consider role-playing with a friend to refine your explanations and ensure you're clear and concise.
āØEmbrace the Company Values
Familiarise yourself with Codat's values: United, Unstoppable, and Useful. Think of ways you've embodied these values in your previous roles. During the interview, weave these examples into your answers to show that you align with their culture and are ready to contribute positively to the team.
