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Data Engineer

4 months ago

London, UK, United Kingdom Janus Henderson Investors Full time

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


The Data Engineer is a crucial member of the Finance Analytics technology team, tasked with developing, managing, and optimizing data pipelines within our data ecosystem. The Data Engineer will leverage cutting-edge technology in Snowflake, Python, Informatica, and Azure to improve our data capabilities and support our Finance business partners in their decision-making processes. Key responsibilities include:


  • Design, build, and maintain efficient, reliable data pipelines using ETL and ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation
  • Use Snowflake for data storage, processing, and analytics. Optimise data structures and queries to support analytics and BI initiatives
  • Develop scripts in Python and SQL to automate data processes, integrate data from various sources, and support data analytics and reporting
  • Leverage Azure cloud-native technologies to enhance data infrastructure, ensuring scalability, security, and performance
  • Work closely with data analysts, BI developers, and the enterprise data management group to understand data needs, contribute to the data governance framework, and deliver on data initiatives
  • Apply knowledge of data domains within the finance industry to improve data models, enhance data accuracy, and ensure relevance to business needs
  • Evaluate industry developments in cloud and data related technologies, assessing their impact and applicability to the existing enterprise architecture
  • Follow existing Janus Henderson standards and procedures for data movement, as well as provide suggestions for new standards and procedures as the move toward cloud technologies matures
  • Participate in all phases of the agile systems development life cycle, including requirements analysis, design (including code design and code reviews), development, testing and deployment, picking up data development tasks within a 2-week sprint, providing work estimates for tasks to project management, and participating in agile ceremonies
  • 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
  • All-inclusive approach to Diversity, Equity and Inclusion
  • 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


  • Experience as a Data Engineer, with a solid background in data pipeline construction and data architecture using Snowflake, Python, and Informatica
  • Familiarity with Azure and other cloud-native technologies
  • Understanding of finance industry data domains and their application in data engineering
  • Strong problem-solving skills and the ability to work collaboratively across technical and functional teams
  • Superb communication and stakeholder management abilities, capable of articulating complex technical concepts to non-technical audiences
  • Experience with modern technology stacks, agile methodologies, and cloud computing
  • Experience of working with geographically dispersed development teams

Nice to have skills


  • Experience with a reporting tool, ideally Power BI
  • Familiarity with SAP FI datasets
  • Use of SAP BI platform (SAP BW, SAP Analysis, Business Objects)



Potential for growth


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