Enterprise Data Operations Lead in York

Enterprise Data Operations Lead in York

York Full-Time 70000 - 90000 € / year (est.) No home office possible
StarCompliance

At a Glance

  • Tasks: Lead data operations and migration, solving complex challenges in a hands-on role.
  • Company: Join a forward-thinking fintech company focused on secure data services.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on AI integration and continuous improvement.
  • Why this job: Make a real impact in financial services while developing your technical leadership skills.
  • Qualifications: 5+ years in data operations or migration, with strong SQL and ETL experience.

The predicted salary is between 70000 - 90000 € per year.

The Data Operations & Migration Technical Lead will oversee our data feed operations and client data migration capabilities. This is a hands-on technical leadership role with a strong focus on day-to-day delivery, investigation, validation, escalation, and problem-solving. The role will provide technical direction and unblock complex issues while remaining actively involved in the work. You will own the operational health of broker and client data feeds, lead complex data migration initiatives during client onboarding, and provide mentorship and technical guidance to engineers and analysts across both functions. Deep domain knowledge in financial services data, particularly regulated trading, transaction, or reference data, is critical.

The balance will vary depending on client activity, incidents, and migration workload, but the expected shape of the role is around 50 to 70% hands-on technical delivery, investigation, review, migration validation, incident support, and technical escalation, with the remaining 30 to 50% focused on leadership, prioritisation, mentoring, stakeholder management, documentation, planning, and process improvement. This role sits within the Enterprise Data function and works closely with R&D, Client Support Services, Professional Services, and Relationship Management to ensure client data is secure, accurate, compliant, and delivered on time.

What you'll Be Responsible For

  • Leadership Responsibilities
    • Provide technical and operational leadership across Data Operations and Data Migration functions.
    • Act as a player coach, balancing hands-on delivery with coaching, mentoring, and upskilling team members.
    • Set standards for operational excellence, data quality, documentation, and incident management.
    • Own prioritisation and workload planning across feeds and migrations, ensuring delivery commitments are met.
    • Serve as the escalation point for complex data issues, client escalations, and high-risk migrations.
    • Partner with Product, Engineering, and Professional Services to influence roadmap decisions and onboarding strategies.
    • Act as a trusted technical partner for internal teams and external stakeholders during onboarding and operational change.
    • Translate complex technical and data concepts into clear, actionable guidance for non-technical audiences.
    • Contribute to client-facing discussions where deep data or feed expertise is required.
  • Data Feed Operations Ownership
    • Oversee the delivery, maintenance, and evolution of StarCompliance’s broker and client data feed infrastructure.
    • Ensure secure setup and ongoing management of SFTP connectivity, access permissions, and encryption standards.
    • Own operational monitoring of daily and intraday feeds, proactively identifying trends, risks, and failure patterns.
    • Drive continuous improvement across feed automation, resilience, monitoring, and alerting.
    • Work closely with the wider Enterprise Data engineering team on feed-related enhancements and defect resolution.
    • Ensure platforms such as MoveIt and associated automation tooling are stable, well configured, and fit for scale.
  • Data Migration Leadership
    • Oversee the planning and execution of complex data migrations from third-party vendors into StarCompliance products.
    • Define and review migration strategies, data mappings, validation approaches, and cutover plans.
    • Ensure data integrity, accuracy, and regulatory compliance throughout the migration lifecycle.
    • Provide hands-on support for data analysis, transformation, and validation where required.
    • Oversee post-migration support, ensuring issues are resolved quickly and root causes addressed.

Skills and Experience

We’re looking for a technically strong leader who combines operational excellence with a passion for solving complex data challenges. You will bring:

  • Strong experience in financial services, fintech, regtech, or similarly regulated data environments.
  • Deep domain knowledge of financial broker feeds, file-based integrations, and operational data pipelines.
  • Hands-on experience with SQL Server, including T-SQL for investigation and data validation.
  • Strong understanding of ETL processes and tooling.
  • Experience with secure file transfer technologies and encryption standards, including SFTP, PGP/GPG, and SSH.
  • Proficiency in scripting and automation using tools such as PowerShell, Python, and SQL.
  • Proven experience leading data operations or data migration initiatives in production environments.
  • Ability to balance strategic thinking with hands-on delivery.
  • Excellent problem-solving skills and calm decision-making under pressure.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
  • Proven leader with 5+ years in data operations, data engineering, data migration, or related technical roles, ideally within financial services or compliance technology.

How We Think About AI

At StarCompliance, AI is not a side experiment or a specialist niche. We treat it as a practical capability that strengthens how we operate, scale, and deliver secure, high-quality data services. In Enterprise Data, we expect senior leaders to:

  • Use AI assisted tools to improve operational efficiency.
  • Stay informed about how AI can enhance data operations, migration strategy, and automation in regulated environments.
  • Apply AI thoughtfully, with strong awareness of data security, client confidentiality, regulatory risk, and cost.
  • Help the team adopt AI responsibly in day-to-day operations, without compromising control, traceability, or compliance standards.

StarCompliance Background Checks

All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information.

To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.

Equal Opportunity Employer Statement

We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws. This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Enterprise Data Operations Lead in York employer: StarCompliance

At StarCompliance, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Enterprise Data Operations Lead role offers not only competitive benefits but also ample opportunities for professional growth and mentorship within the dynamic financial services sector. Located in a vibrant area, our team enjoys a supportive environment where technical expertise is valued, and employees are encouraged to leverage cutting-edge AI tools to enhance operational efficiency.

StarCompliance

Contact Detail:

StarCompliance Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise Data Operations Lead in York

Tip Number 1

Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a role. Attend industry events or webinars to meet potential employers and make a lasting impression.

Tip Number 2

Prepare for interviews by brushing up on your technical skills. Since this role involves hands-on delivery, be ready to discuss your experience with SQL, data migration, and operational excellence. Practice explaining complex concepts in simple terms!

Tip Number 3

Showcase your problem-solving skills during interviews. Be prepared to share specific examples of how you've tackled complex data challenges in the past. This will demonstrate your ability to handle the demands of the Enterprise Data Operations Lead role.

Tip Number 4

Don't forget to 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 Enterprise Data Operations Lead in York

Technical Leadership
Data Migration Management
Financial Services Knowledge
SQL Server
T-SQL
ETL Processes
SFTP

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Enterprise Data Operations Lead. Highlight your experience in data operations, migration, and any relevant technical skills that match the job description. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can help us tackle complex data challenges. Keep it concise but impactful – we love a good story!

Showcase Your Technical Skills:Since this role is hands-on, don’t shy away from showcasing your technical expertise. Mention specific tools and technologies you’ve worked with, like SQL Server or ETL processes. We’re keen to know how you’ve used these in real-world scenarios!

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’s super easy – just follow the prompts and submit your materials!

How to prepare for a job interview at StarCompliance

Know Your Data Inside Out

Make sure you brush up on your knowledge of financial services data, especially around broker feeds and transaction data. Be prepared to discuss specific examples from your past experience where you've successfully managed data operations or migrations.

Showcase Your Technical Skills

Be ready to demonstrate your hands-on experience with SQL Server and ETL processes. You might be asked to solve a technical problem on the spot, so practice your T-SQL skills and be familiar with scripting in PowerShell or Python.

Prepare for Leadership Questions

Since this role involves mentoring and leading teams, think about your leadership style and prepare examples of how you've coached team members in the past. Highlight your ability to balance hands-on work with strategic thinking.

Understand the Company’s Use of AI

Familiarise yourself with how the company integrates AI into their operations. Be ready to discuss how you can leverage AI tools to improve efficiency while maintaining data security and compliance standards.