At a Glance
- Tasks: Lead a team to create innovative data solutions and ensure compliance in a fast-paced environment.
- Company: Join a dynamic company focused on enterprise data platforms and engineering excellence.
- Benefits: Competitive salary, career development opportunities, and a collaborative work culture.
- Other info: Ideal for those who thrive in regulated environments and enjoy hands-on problem solving.
- Why this job: Make a real impact by driving data innovation while mentoring a talented team.
- Qualifications: 8+ years in data engineering with leadership experience and strong technical skills.
The predicted salary is between 70000 - 90000 € per year.
We’re looking for an experienced and hands‑on Data Engineering Lead to drive the evolution of enterprise data platforms within a fast‑paced, highly regulated environment. This role combines technical leadership, people management, strategic roadmap ownership, and hands‑on engineering delivery, with a strong focus on compliance, data processing, data modelling, and enterprise data architecture. The successful candidate will lead a small team of engineers while remaining deeply involved in architecture, development, and delivery. This is an ideal opportunity for someone who enjoys balancing leadership responsibilities with hands‑on technical problem solving.
Key Responsibilities
- Lead, mentor, and develop a small team of data engineers delivering enterprise‑scale data solutions.
- Own and execute the data engineering roadmap in partnership with senior leadership and business stakeholders.
- Drive the design and implementation of scalable, secure, and compliant enterprise data platforms.
- Work closely with compliance, operations, and business teams to ensure data processes align with regulatory and governance requirements.
- Design and maintain robust data models supporting enterprise reporting, operational workflows, and reconciliation processes.
- Remain hands‑on with architecture, coding, code reviews, troubleshooting, and delivery activities.
- Develop and optimize ETL/ELT pipelines and enterprise data integration solutions.
- Ensure strong data governance, data quality, monitoring, and operational controls across all data systems.
- Partner with cross‑functional stakeholders to translate business requirements into scalable technical solutions.
- Support agile delivery processes including sprint planning, prioritization, estimation, and delivery management.
- Champion engineering best practices including testing, CI/CD, documentation, and automation.
- Continuously improve platform scalability, operational resilience, and engineering standards.
- Support hiring, onboarding, performance management, and career development within the engineering team.
Required Experience & Skills
- 8+ years of experience in data engineering, including leadership or team management responsibilities.
- Strong hands‑on experience with Oracle databases and enterprise SQL development.
- Strong Java development experience in enterprise environments.
- Experience with Groovy is highly desirable.
- Strong understanding of enterprise data processing, data modelling, and data architecture principles.
- Experience working within compliance‑focused or highly regulated environments such as financial services, banking, payments, or similar industries.
- Proven experience building and maintaining enterprise ETL/ELT pipelines and large‑scale data integration frameworks.
- Strong understanding of transactional and reconciliation data systems.
- Experience designing scalable data solutions across cloud and hybrid environments.
- Familiarity with modern data engineering tooling such as DBT, Airflow, and Airbyte is desirable.
- Experience with CI/CD pipelines, Git workflows, testing frameworks, and software engineering best practices.
- Strong stakeholder management and communication skills with the ability to engage both technical and non‑technical audiences.
- Demonstrated ability to lead teams while remaining hands‑on and delivery-focused.
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
Data Manager employer: Realtime Recruitment
Join a dynamic and innovative team as a Data Manager, where you will not only lead a talented group of data engineers but also engage in hands-on technical problem solving within a fast-paced, highly regulated environment. Our company fosters a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, ensuring that you can advance your career while contributing to the development of scalable and compliant enterprise data solutions. Located in the heart of the UK, we offer a unique blend of professional challenges and a supportive atmosphere that values compliance and excellence in data management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data processing and architecture. This will give potential employers a taste of what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and scenarios relevant to data engineering. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Manager role. Highlight your experience in data engineering, leadership, and any relevant projects that showcase your skills. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Let us know what excites you about working at StudySmarter.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise, especially with Oracle databases, Java, and any other tools mentioned in the job description. We love seeing hands-on experience, so share specific examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Realtime Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering principles, especially around data processing, modelling, and architecture. Be ready to discuss your hands-on experience with Oracle databases and SQL development, as well as any projects where you've implemented scalable data solutions.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored or developed other engineers. Highlight your experience in managing teams and how you balance leadership with technical problem-solving.
✨Understand Compliance and Governance
Given the highly regulated environment, it's crucial to demonstrate your understanding of compliance requirements. Be ready to discuss how you've ensured data processes align with regulatory standards in your previous roles.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Brush up on your Java development skills and be familiar with modern data engineering tools like DBT and Airflow. Practising coding problems can help you feel more confident when tackling these questions.
