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    Senior Engineer, Data Engineering - United Kingdom - Creditsafe

    Creditsafe
    Creditsafe United Kingdom

    Found in: Jooble UK O C2 - 1 week ago

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    Description
    Here at Creditsafe, we are looking for a Data Engineer, to join the Data engineering team.

    It's important to us that people can be themselves, feel a sense of professional and personal growth and feel part of a global community.

    We offer a varied range of benefits that support a good work-life balance, including a hybrid approach to work, which enables you the flexibility needed to thrive.

    The Data Engineering department at Creditsafe Group comprises four delivery teams covering over 1000 data pipelines, scorecard processing, and also data services to facilitate access to the data via API.

    Reporting to the Director of Data Engineering, we are a friendly and supportive team working across Creditsafe's data universe, building out and managing our centralised data warehouse, and delivering processed "business ready" data to the downstream products and services used by Creditsafe's customers.

    We use modern tools and methodologies, leveraging cloud services (AWS), Step Functions, Glue, Athena , PySpark and of course, SQL and Python.

    We work in an agile manner, delivering iteratively through a metadata-driven approach which allows us to generate and deploy consistent, repeatable code.

    "

    You will be working closely with the analytics team facilitating the transformation and derivation of Creditsafe data.

    The role will define and build data pipelines that will enable faster, better, data-informed decision-making both within the business and for Creditsafe customers.

    This is an opportunity to gain exposure to big data architectures and mpp processes.

    Perform a role as part of an Agile team to develop, test and maintain high quality systems that fulfil business needs.


    • Help evolve our data platform with a view towards growth and high throughput aggregations.
    • Design analytical workloads using Python and SQL in accordance with guidelines set by the Data Architect
    • Work within a team to ship medium to large features independently using industry standard processing patterns
    Experience within a commercial environment creating ETL pipelines in python

    • Exposure to analytical data warehouses such as Snowflake, Redshift or BigQuery (Redshift Preferred)
    • Experience with data orchestrators such as Airflow, AWS Step Functions, AWS Batch
    • Knowledge of Agile development methodologies
    • Experience designing and building autonomous data pipelines
    Competitive Salary.
    ~ Company Laptop supplied.
    ~ Bonus Scheme.
    ~25 Days Annual Leave (plus bank holidays).
    ~ Hybrid working model.
    ~ Healthcare & Company Pension.
    ~ Cycle to work and Wellbeing Programme.
    ~ Global Company gatherings and events.
    ~ E-learning and excellent career progression opportunities.
    ~ Creditsafe is an equal opportunities employer that values diversity.
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