Senior Engineer, Data Engineering

4 weeks ago

London, United Kingdom Janus Henderson Investors Full time

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

The Data Engineer is a crucial member of the Investments Data, BI & Analytics Technology team, tasked with developing, managing, and optimizing data pipelines within our data ecosystem. Reporting directly to the Head of Investments Data, BI & Analytics, this role is instrumental in implementing the data strategy that supports front office stakeholders, systems, and clients. The Data Engineer will leverage cutting-edge technology in Snowflake, Python, SQL, and Azure to enhance our data capabilities and support the investment decision-making process. 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 organization.


~ Utilize Snowflake for data storage, processing, and analytics. Optimize 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.


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
All employee events including networking opportunities and social activities
Lunch allowance for use within our subsidized onsite canteen

Proven experience as a Data Engineer, with a strong background in data pipeline construction, data architecture, and data warehousing.
Expertise in Snowflake, Python, SQL, and cloud-native ETL/ELT tools.
Understanding of finance industry data domains and their application in data engineering.
Experience with modern technology stacks, agile methodologies, and cloud computing
Strong knowledge of Asset Management data

Degree educated in mathematics or scientific/engineering discipline.
CFA or similar industry qualification

Regular training
Career development services
Continuing education courses

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