Senior Data Engineer

Senior Data Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Janus Henderson Investors

At a Glance

  • Tasks: Design and deliver robust data pipelines using Snowflake and Databricks.
  • Company: Join Janus Henderson, a leader in financial services with a mission to invest in a brighter future.
  • Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development support.
  • Other info: Inclusive environment with opportunities for growth and career development.
  • Why this job: Make an impact by mentoring junior engineers and optimising data solutions.
  • Qualifications: Experience in data engineering, SQL, and Python is essential.

The predicted salary is between 60000 - 80000 £ per year.

Why work for us? A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. Our Values are key to driving our success, and are at the heart of everything we do:

  • Clients Come First - Always
  • Execution Supersedes Intention
  • Together We Win
  • Diversity Improves Results
  • Truth Builds Trust

If our mission, values, and purpose align with your own, we would love to hear from you!

Opportunity: As a Senior Data Engineer, you will design and deliver robust data pipelines and solutions on the Janus Henderson Data Platform. You will mentor junior engineers, contribute to technical standards, and ensure data quality and reliability across critical business processes.

Responsibilities:

  • Architect and implement scalable data pipelines using Snowflake, Databricks, and supporting technologies.
  • Collaborate with architects and business stakeholders to deliver integrated solutions aligned with strategic goals.
  • Optimise performance and cost through query tuning, clustering, caching and storage strategies.
  • Implement CI/CD and observability practices to enhance reliability and performance.
  • Champion data governance and compliance, ensuring security best practices.
  • Mentor junior engineers and contribute to knowledge-sharing initiatives.
  • Support production systems, troubleshoot incidents and drive root cause analysis.
  • Carry out other duties as assigned.

What to expect when you join our firm:

  • Hybrid working and reasonable accommodations.
  • Generous Holiday policies.
  • Excellent Health and Wellbeing benefits including corporate membership to ClassPass.
  • Paid volunteer time to step away from your desk and into the community.
  • Support to grow through professional development courses, tuition/qualification reimbursement and more.
  • Maternal/paternal leave benefits and family services.
  • Complimentary subscription to Headspace – the mindfulness app.
  • All employee events including networking opportunities and social activities.
  • Lunch allowance for use within our subsidized onsite canteen.

Must have skills:

  • Proven experience in data engineering and pipeline development using Snowflake and/or Databricks.
  • Advanced proficiency in SQL through complex queries, optimisation and performance tuning on cloud-based data platforms.
  • Strong Python knowledge for data processing and automation.
  • Solid understanding of DevOps principles, CI/CD and data reliability engineering.
  • Experience with job orchestration (Autosys, Airflow/Astronomer).
  • Effective communication and problem-solving skills.

Nice to have skills:

  • Certifications in Snowflake or Databricks.
  • Experience with dbt Core/Cloud for transformation and testing.
  • Familiarity with Data Mesh principles and distributed data ownership.
  • Experience with Microsoft Azure services (e.g., Azure Data Factory, Azure Key Vault, Azure DevOps) for CI/CD and Infrastructure.
  • Knowledge of data governance frameworks and lineage tools.

Potential for growth:

  • Mentoring.
  • Leadership development programs.
  • Regular training.
  • Career development services.
  • Continuing education courses.

At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know.

Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits.

Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.

Senior Data Engineer employer: Janus Henderson Investors

At Janus Henderson, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and inclusivity. Our commitment to employee growth is evident through our robust professional development programmes, generous health and wellbeing benefits, and a supportive hybrid working environment. With a focus on diversity and community engagement, we offer a workplace where your contributions are valued and your career can flourish.
Janus Henderson Investors

Contact Detail:

Janus Henderson Investors Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Janus Henderson on LinkedIn. Ask them about their experiences and any tips they might have for your application. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since you’ll be working with Snowflake and Databricks, make sure you can talk confidently about your experience with these tools. Practice common data engineering scenarios to impress the interviewers.

✨Tip Number 3

Show off your problem-solving skills! Be ready to discuss past challenges you've faced in data engineering and how you overcame them. This will demonstrate your ability to think critically and adapt, which is key for a Senior Data Engineer role.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Janus Henderson team. Good luck!

We think you need these skills to ace Senior Data Engineer

Data Engineering
Snowflake
Databricks
SQL
Python
DevOps Principles
CI/CD
Data Reliability Engineering
Job Orchestration (Autosys, Airflow/Astronomer)
Communication Skills
Problem-Solving Skills
Data Governance
Microsoft Azure Services (Azure Data Factory, Azure Key Vault, Azure DevOps)
Data Mesh Principles

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Snowflake, Databricks, and any relevant projects that showcase your data pipeline skills. We want to see how you align with our mission and values!

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 values align with ours. Don’t forget to mention specific examples of your work that demonstrate your expertise.

Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex problems or optimised processes. We love candidates who can think critically and come up with innovative solutions, so let us know how you've done this in the past!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!

How to prepare for a job interview at Janus Henderson Investors

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake and Databricks. Brush up on your SQL skills and be ready to discuss how you've optimised performance in past projects.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data engineering challenges. Be ready to explain your thought process and the steps you took to resolve issues, particularly around data quality and reliability.

✨Emphasise Collaboration

Since the role involves working with architects and business stakeholders, think of instances where you’ve successfully collaborated on projects. Highlight your communication skills and how you’ve contributed to team success.

✨Mentorship Matters

As a Senior Data Engineer, mentoring junior engineers is key. Be prepared to discuss your approach to mentoring and knowledge-sharing. Share any experiences where you’ve helped others grow in their roles.

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