Senior Data Engineer
Senior Data Engineer

Senior Data Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
G

At a Glance

  • Tasks: Design and deliver robust data pipelines while mentoring junior engineers.
  • Company: Join Janus Henderson, a leader in financial services with a mission for superior outcomes.
  • Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development support.
  • Other info: Inclusive environment with growth opportunities and a commitment to diversity.
  • Why this job: Make an impact by optimising data solutions and championing data governance.
  • Qualifications: Experience in data engineering with Snowflake or Databricks and strong SQL skills.

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. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.

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!

Your 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.

  • 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.

Supervisory responsibilities: No

Potential for growth:

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

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

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 at recruiter@janushenderson.com.

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.

Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).

You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.

Senior Data Engineer employer: GWP

At Janus Henderson, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee well-being and professional growth. As a Senior Data Engineer, you will benefit from hybrid working arrangements, generous holiday policies, and comprehensive health benefits, alongside opportunities for mentorship and career development. Join us in a dynamic environment where your contributions directly impact our mission to deliver superior financial outcomes for our clients.
G

Contact Detail:

GWP 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 and how you've tackled challenges in data engineering.

✨Tip Number 3

Show off your soft skills! Janus Henderson values communication and teamwork, so be ready to share examples of how you've collaborated with others or mentored junior engineers in the past.

✨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 team at Janus Henderson.

We think you need these skills to ace Senior Data Engineer

Data Engineering
Pipeline Development
Snowflake
Databricks
SQL
Performance Tuning
Python
DevOps Principles
CI/CD
Data Reliability Engineering
Job Orchestration (Autosys, Airflow/Astronomer)
Effective Communication
Problem-Solving Skills
Data Governance
Data Mesh Principles

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to reflect the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with Snowflake, Databricks, and any relevant projects that showcase your data engineering prowess.

Showcase Your Technical Skills: Don’t shy away from diving into the technical details! Mention your advanced SQL skills, Python knowledge, and any experience with CI/CD practices. This is your chance to shine a light on what makes you a great fit for the position.

Emphasise Collaboration: Since the role involves working closely with architects and business stakeholders, make sure to highlight your teamwork and communication skills. Share examples of how you've successfully collaborated in past projects to deliver integrated solutions.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and you’ll be able to see all the details about the role and our company culture while you’re at it!

How to prepare for a job interview at GWP

✨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, as this will demonstrate your effective communication and problem-solving abilities.

✨Understand Their Values

Familiarise yourself with Janus Henderson's mission and values. Think about how your personal values align with theirs, and be prepared to discuss this during the interview. This shows that you’re not just a fit for the role, but also for the company culture.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, ongoing projects, and how they measure success in the role. This not only shows your interest in the position but also helps you gauge if the company is the right fit for you.

Senior Data Engineer
GWP

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>