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ETL Consultant/Developer - LONDON

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ETL Consultant/Developer - LONDON

  • Location

    London, England

  • Sector:

    Software Development

  • Job type:

    Permanent

  • Salary::

    £50000.00 - £800000 per annum

  • Contact:

    Gail Maguire

  • Contact email:

    gail.maguire@claremontconsulting.com

  • High Salary:

    800000

  • Low Salary:

    50000

  • Reference:

    BBBH16690_1564151918

  • Job Published:

    about 2 months ago

  • Expiry Date:

    2019-08-25

  • Startdate:

    asap

ETL developer/Consultant - LONDON

Data Engineering Consultant

As a Data Engineering Consultant, you will be experienced working within a team to help design and deliver solutions as part of clients' drive towards digital transformation. You will be working with technologies such as Talend, Qlik, Tableau, Azure, Amazon Web Services, Google Cloud Platform and Hadoop under the supervision of more experienced consultants.

What You'll Do:
Work in collaboration with several Data Science & Data Engineering teams
Help design and build data management solutions to provide data acquisition, data quality, data transformation, master data management and data integration of disparate sources for the data science ecosystem
Work with data from a data lake or graph databases
Help design and build dashboards, visualizations and analytics using tools such as Python, R, Qlik or Tableau
Generate solution documentation for design, training and support purposes
Work to a high standard of design and delivery within pre-determined timelines
Provide regular and accurate progress reporting and communication to colleagues
Work within Agile frameworks such as SCRUM
Liaise with client stakeholders as appropriate for the role
Excellent verbal and written communication skills using appropriate language and tools both internally and externally
Willingness to take part in the delivery of presentations, demonstrations, workshops or training sessions

Experience you will have:
Experience of working with data for analysis purposes
Knowledge of relational databases and SQL such as Microsoft SQL Server, Oracle or TeradataExperience of an ETL technology such as Python, Kafka, Flink, Talend, Informatica or SSISExperience of machine learning technologies
Experience of data engineering feature development
Appreciation of data modelling and integration techniques
Experience with Azure, Amazon Web Services, Google Cloud Platform
Exposure to Open Source frameworks and technologies
Strong communication skills, both technical and non-technical
Bachelor/Degree level (or equivalent) in a relevant discipline or demonstrate significant relevant experience

Any technical certifications indicating the aptitude to absorb training and best practice
Willing to work on client sites, potentially for extended periods
Willing to travel for work purposes and be happy to stay away from home for extended periods

This is an excellent opportunity to work for a scuccessful and dynamic business