At a Glance
- Tasks: Lead a team of data engineers to build and scale transaction matching systems.
- Company: Join a fast-paced, innovative company focused on impactful data solutions.
- Benefits: Competitive salary, hybrid work model, and excellent career development opportunities.
- Other info: Collaborative culture with a focus on talent development and agile delivery.
- Why this job: Shape the future of data engineering in a high-visibility role with real impact.
- Qualifications: 8+ years in data engineering, with strong SQL and leadership skills.
The predicted salary is between 95000 - 115000 € per year.
Our client is building the next generation of a high-impact, enterprise-wide transaction matching and data platform. They operate in a fast-paced, merchant-first ecosystem where focused and empowered teams deliver real outcomes, not just outputs. If you are a hands-on engineering leader with a passion for data at scale, this is an exceptional opportunity to step into a high-visibility role and shape a critical technical function.
The Role
- You will lead a team of data engineers building and scaling products centred around transaction matching systems.
- Working closely with senior leadership and business stakeholders, you will own the data engineering roadmap, drive automation, and deliver robust, scalable ETL/ELT pipelines.
- This is a genuinely hands-on role requiring deep technical credibility alongside the leadership capability to build and retain a high-performing team.
What You Will Be Doing
- Leading and developing a team of data engineers focused on transaction matching systems and data engineering products.
- Collaborating with senior leadership to define and execute the data engineering roadmap.
- Identifying and driving automation opportunities across pipelines, operational processes, and reporting workflows.
- Remaining hands-on with coding, code review, and contributing to the design of high-performance ETL/ELT pipelines.
- Designing and implementing enterprise-scale data architectures across on-premises and cloud environments.
- Establishing and enforcing data quality standards, testing frameworks, and SLAs across all integrated data sources.
- Managing team capacity, sprint planning, and delivery in an agile environment.
- Contributing to hiring, onboarding, and performance management; developing talent and fostering a collaborative, high-trust culture.
What We Are Looking For
- 8 or more years of experience in data engineering, with at least 3 years in a people management or technical lead role.
- Strong hands-on proficiency with SQL across Oracle, PostgreSQL, MSSQL, or Snowflake.
- Hands-on experience with DBT and Snowflake.
- Proven track record designing and delivering large-scale ETL/ELT pipelines and data transformation applications.
- Experience in regulated financial services environments, particularly payments or reconciliation.
- Strong working knowledge of cloud platforms including AWS, Azure, or GCP.
- Familiarity with CI/CD tooling such as GitLab or Jenkins and JVM-based microservice architectures.
- Excellent stakeholder management and communication skills.
Nice to Have
- Proficiency in a JVM-based language such as Java or Groovy; Python scripting also advantageous.
- Familiarity with Oracle EPM or similar reconciliation platforms.
- Exposure to compliance-driven delivery under regulatory deadlines.
Package: £95,000 to £115,000 base depending on experience, plus benefits.
Interested or want to find out more? Reach out to us at Ocho People. All applications handled in strict confidence.
Data Engineering Manager employer: Ocho
Our client is an exceptional employer, offering a dynamic and empowering work culture that prioritises innovation and collaboration. With a focus on employee growth, they provide ample opportunities for professional development and hands-on leadership experience in a high-impact role. Located in a fast-paced environment, employees benefit from a hybrid working model and competitive compensation, making it an ideal place for those passionate about data engineering to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Get your hands dirty with some coding challenges! Brush up on your SQL skills and tackle some real-world problems. This will not only boost your confidence but also give you great talking points during interviews.
✨Tip Number 3
Prepare for those interviews by researching the company and its tech stack. Understand their data architecture and be ready to discuss how your experience aligns with their needs. Show them you're not just a fit, but the perfect fit!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineering Manager role. Highlight your hands-on experience with SQL, ETL/ELT pipelines, and any leadership roles you've held. We want to see how you can lead a team and drive automation!
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 mission. Don’t forget to mention your experience in regulated environments if applicable, as it’s a big plus for us.
Showcase Your Technical Skills:Since this role is hands-on, make sure to highlight your technical proficiencies, especially with tools like DBT, Snowflake, and cloud platforms. We love seeing specific examples of projects where you’ve designed and implemented data architectures!
Apply Through Our Website:We encourage you to apply directly 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 updates. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Ocho
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially with SQL and ETL/ELT pipelines. Be ready to discuss your hands-on experience with tools like DBT and Snowflake, as well as any large-scale projects you've led. This will show that you’re not just a manager but also a technical leader.
✨Showcase Your Leadership Style
Prepare to talk about your approach to leading teams, especially in an agile environment. Think of examples where you've successfully managed team capacity, sprint planning, or fostered a collaborative culture. This will help demonstrate your ability to build and retain high-performing teams.
✨Understand the Business Context
Familiarise yourself with the company's ecosystem and how data engineering impacts their transaction matching systems. Being able to connect your technical expertise to business outcomes will impress the interviewers and show that you can collaborate effectively with senior leadership.
✨Prepare for Technical Questions
Expect some deep-dive technical questions related to cloud platforms like AWS, Azure, or GCP, and CI/CD tooling. Brush up on your knowledge of JVM-based languages and compliance-driven delivery, as these are key areas for the role. Practising coding challenges or system design questions can also be beneficial.
