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    Data Engineer - London, United Kingdom - Janus Henderson Investors

    Janus Henderson Investors
    Janus Henderson Investors London, United Kingdom

    1 week ago

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    Description

    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 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. 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 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.

    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

    • 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.
    • 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 teams.
    • Excellent 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 disperse development teams
    • Strong knowledge of Asset Management data

    Nice to have skills

    • Experience of micro-service development and API development
    • Degree educated in mathematics or scientific/engineering discipline.
    • CFA or similar industry qualification

    Supervisory responsibilities

    • Yes

    Potential for growth

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