Data Engineering Manager - Madison, United States - Park Lane Recruitment

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    Description

    Role:
    Data Engineering Manager


    Salary:
    £85k-£95k


    Location:
    London Hybrid


    About the Team:
    The Global Data and Analytics team provides centralized support for data and business intelligence capabilities throughout the enterprise


    They:
    Industrialize datasets into global data warehouse

    Enable access to data using scalable business intelligence solutions

    Standardize and consolidate customer data to support marketing activities and analysis

    Could you be a new Manager, Data Engineering? Do you:

    Have extensive experience in the data engineering practice including data warehousing, ETL/ELT, and broad business intelligence concepts

    Have extensive experience leading multiple data engineering teams

    Have a data-driven mindset with a passion for building a data-first organization

    Lead a culture of transparency and agile ways of working

    Have an awareness of advanced analytic approaches to solving business problems

    Have experience of working and building globally distributed teams


    Your new role:
    Lead multiple teams to build enterprise-scale data and analytic solutions.

    Manage direct reports to ensure that performance and goals are aligned with product and department goals and communicate company and strategic department objectives to the team.

    Accountable for recruiting and building a high performing team of internal and contract data engineers for approved investment initiatives to help realize the intended business benefits.

    Lead data engineering strategy on documentation, processes, and governance to better standardize the Data Engineering function within the company to continually improve data delivery.

    Provide data engineering expertise and direction in partnership with software engineers, product managers, and data scientists to build data architecture that drives insights.

    Experience delivering cloud-based data services (Azure strongly preferred). Experience using tools such as SSIS, Azure Data Factory, Spark, or comparable data integration tools.

    Overview of benefits:

    25 days holiday excluding bank holidays full-time/pro-rated for part-time roles

    2 additional 'floating days' of personal leave, in recognition that each of us has cultural, religious, or family commitments that fall at times when the company is not closed

    Life assurance

    Income protection

    Access to books and journals

    Tuition scheme and support for pursuing professional qualifications

    Hybrid working arrangements - In-office 20% of contracted hours. Work flexibly and most staff can choose to work from home for up to 80% of their contracted hours

    Other benefits, which may change include:

    Variety of snacks and beverages available in the office

    Home working allowance

    Travel insurance

    Healthy lifestyle reimbursement

    Access to the Company doctor

    Access to Company loans (season ticket loan, rental deposit loan, cycle loan)

    Anniversary trip


    If you are interested please upload your cover letter & CV as one document, applications without a cover letter may regrettably not be reviewed.

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