At a Glance
- Tasks: Design and deliver robust data pipelines while mentoring junior engineers.
- Company: Join Janus Henderson, a leader in financial outcomes and client success.
- Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development support.
- Other info: Inclusive environment with growth opportunities and a focus on diversity.
- Why this job: Make a real impact with cutting-edge data technologies and collaborative projects.
- 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. 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.
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: LGBT Great
Contact Detail:
LGBT Great 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 process. 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 showcase your problem-solving skills.
✨Tip Number 3
Show your passion for data! During interviews, share specific projects where you’ve implemented data pipelines or optimised performance. This not only highlights your skills but also shows that you’re genuinely interested in the role and the company’s mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Janus Henderson team. Let’s get you that dream job!
We think you need these skills to ace Senior Data Engineer
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 Problem-Solving Skills: In your application, don’t just list your technical skills; share examples of how you've tackled challenges in previous roles. This will demonstrate your effective communication and problem-solving abilities, which are key for this position.
Emphasise Team Collaboration: Since the role involves mentoring junior engineers and collaborating with stakeholders, make sure to mention any past experiences where you’ve worked in a team or led initiatives. We love to see how you can contribute to our 'Together We Win' value!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Janus Henderson!
How to prepare for a job interview at LGBT Great
✨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 complex queries and performance tuning, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data engineering challenges in the past. Think about incidents you've resolved or optimisations you've implemented, and be ready to explain your thought process and the impact of your solutions.
✨Emphasise Collaboration
Since the role involves working with architects and business stakeholders, highlight your experience in collaborative projects. Be prepared to discuss how you’ve successfully integrated solutions and communicated effectively with different teams.
✨Demonstrate Your Mentorship Experience
As a Senior Data Engineer, mentoring junior engineers is part of the job. Share your experiences in guiding others, contributing to knowledge-sharing initiatives, and how you’ve fostered a supportive learning environment in your previous roles.