At a Glance
- Tasks: Lead a team to design and implement scalable data solutions in a fast-paced environment.
- Company: Join a dynamic company focused on enterprise data platforms and compliance.
- 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 and leading a talented team.
- Qualifications: 8+ years in data engineering with strong leadership and technical skills required.
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.
- 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 in Edinburgh employer: Realtime Recruitment
As a Data Manager at our company, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. We offer competitive benefits, a strong focus on work-life balance, and the opportunity to lead a talented team while engaging in hands-on technical challenges. Located in the heart of the UK, our organisation fosters a culture of innovation and collaboration, making it an excellent place for professionals seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Edinburgh
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving data modelling or ETL pipelines. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by brushing up on both technical skills and soft skills. Be ready to discuss your hands-on experience with Oracle databases and Java development, but also show how you can lead and mentor a team.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Manager in Edinburgh
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 hands-on 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 management 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 modern data engineering tools you've used. We love seeing specific examples of how you've tackled challenges in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
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 modelling and architecture. Be prepared to discuss your hands-on experience with Oracle databases and SQL development, as well as any projects where you've built ETL/ELT pipelines.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, be ready to share examples of how you've mentored or developed others in your previous positions. Highlight your ability to balance technical tasks with leadership responsibilities, and how you've successfully managed teams in compliance-focused environments.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Brush up on Java development and be ready to demonstrate your problem-solving skills. You might also want to familiarise yourself with modern data engineering tools like DBT and Airflow, as they could come up in conversation.
✨Communicate Clearly with Stakeholders
This role requires strong communication skills, so practice explaining complex technical concepts in simple terms. Think about how you've engaged with both technical and non-technical audiences in the past, and be ready to share those experiences to show your stakeholder management abilities.
