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 to create brighter futures.
- Benefits: Enjoy hybrid working, health perks, paid volunteer time, and professional development support.
- Other info: Inclusive environment with growth opportunities and a commitment to diversity.
- Why this job: Make a real impact by optimising data solutions and collaborating with diverse teams.
- Qualifications: Experience in data engineering, SQL, and Python is essential; strong communication skills are a plus.
The predicted salary is between 60000 - 80000 € per year.
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.
- 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 subsidised 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: Regular training and 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 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.
Equal Employment Opportunity: 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 in London employer: Janus Henderson AAA CLO ETF
At Janus Henderson, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee wellbeing and professional growth. As a Senior Data Engineer, you will benefit from hybrid working arrangements, comprehensive health benefits, and opportunities for continuous learning, all while contributing to meaningful projects that drive superior financial outcomes for our clients. Join us in a supportive environment where diversity is celebrated, and your contributions are valued.
Contact Detail:
Janus Henderson AAA CLO ETF Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨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 the interview process. A friendly chat can give you insider info that could set you apart.
✨Tip Number 2
Prepare for those technical questions! Brush up on your SQL, Python, and data pipeline skills. Practise explaining your past projects and how you tackled challenges. Being able to articulate your thought process is key!
✨Tip Number 3
Show your passion for data engineering! During interviews, share why you love working with data and how you stay updated with industry trends. This enthusiasm can really resonate with the hiring team.
✨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. Let’s get you that dream job!
We think you need these skills to ace Senior Data Engineer in London
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 SQL, as these are key skills we're looking for. We want to see how your background aligns 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 you can contribute to our team. Don't forget to mention how our values resonate with you – we love to see that connection!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience with data pipelines and automation.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you'll find all the details about the role and our company culture there!
How to prepare for a job interview at Janus Henderson AAA CLO ETF
✨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, or their approach to data governance. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
