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Financial Times

Data Engineer – FT Specialist (maternity cover)

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    Tech Stack / Изисквания

    About Us

    Here at the FT, gold-standard journalism is just the beginning. 500-people strong, our Product & Tech team keeps us ahead of the ever-changing digital landscape by delivering cutting-edge products to over one million digital subscribers every day. Our plans for growth rely on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists – everyone’s welcome in this friendly, forward-thinking team. And with entrepreneurial spirit, intelligence and opportunity at every turn, there are no limits to where your FT career will take you.

    About FT Specialist

    A key part of the FT business, providing significant revenue and contribution to the FT, is FT Specialist (which is part of the wider FT Group Products portfolio). This is an exciting time for FT Specialist as we are enlarging a cross functional product & technology team in Sofia to support the needs of this part of the business. The team’s focus will be across 3 distinct areas:

    • Existing products – protecting existing profit and enabling outcome driven development e.g. increased engagement, acquisition and retention;
    • Incremental growth from existing products – via product extensions, driving additional revenue; and
    • Diversification – growing and diversifying through new growth initiatives into new markets.

    The FT Specialist portfolio consists of 16 different brands including Investors Chronicle, FDI Intelligence, and the Banker, to name a few.

    We’re looking for a Data Engineer to join the Data team in Sofia to support our FT Specialist teams within the Group Products Programme. The role is based in Sofia.

    About the role

    As the Data Engineer on FT Specialist, you will be working to maintain and improve the data architecture and processes of the wider team. Projects might include developing new ETL processes, overseeing improvements to the data pipeline and producing transformational datasets.

    There is a high degree of autonomy of systems and priorities within the ST Data team. We’re empowered to work in the best way to deliver value for our stakeholders and the business.

    This role could be for you if:

    • You are used to taking data from multiple sources and combining them in an efficient and organised data architecture.
    • You have exposure working with a wide variety of data sets and have some experience in data warehouse administration
    • You have experience building ETL processes and data pipelines
    • You are thorough, inquisitive, innovative, ‘out-of-the-box’ thinking
    • You are a pragmatic person that can make decision based on real needs
    • You can evaluate the impact of the different tasks and make judgment calls on their prioritisation
    • You have a university degree in Mathematics/ Computer Science / Statistics / Economics / or similar numerate discipline
    • Advanced SQL skills and proven experience analysing and combining large data sets
    • You are self-motivated, with the ability to manage and follow up on multiple tasks simultaneouslyYou’re able to extract the true value and business need from a business request.

    You might also have:

    • Experience working with Python and Airflow
    • Experience of working with AWS databases
    • Have experience in Looker visualisation

    Benefits

    Our benefits vary depending on location, but we are committed to providing best in class perks across all our offices as well as an inclusive environment to develop your career. These include;

    • 25 days annual paid leave
    • 10% Annual Performance Bonus
    • 24/7 Employee Assistance Program
    • Life Insurance
    • Additional Health Care
    • Enhanced Maternity and Paternity Leave policy
    • Food Vouchers
    • Multisport Card
    • Work-life balance and work-from-home practice
    • Both in-house and external training programs

    Our commitment to diversity and inclusion in the workplace

    The FT is committed to providing an inclusive working environment for all. We are an equal opportunities employer who seeks to recruit and appoint the best talent regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We believe that a supportive workplace is one where employees feel they can be themselves at work and have the flexibility they need to meet their personal needs.

    #LI-MG1