• London
Job types
  • Permanent
  • Media & Communications

£30000 - £35000 per annum

  • Data Engineer
  • Junior
  • Microsoft Azure
Job reference



Job Title: Data Engineer

Location: London, UK


Company Overview:

La Fosse is excited to collaborate with a prominent player in the Media industry dedicated to harnessing data-driven insights to propel organisational growth and innovation. Our client is committed to excellence, boasting a dynamic team that values creativity, collaboration, and continuous improvement.

Position Overview:

We are partnering with our client to identify a skilled Data Engineer to join their London team. As a Data Engineer, you will play a crucial role in advancing data-driven decision-making throughout the organisation by overseeing the comprehensive process of importing, cleansing, transforming, and validating data to derive actionable insights. You will collaborate closely with cross-functional teams to grasp data requirements, construct robust database management solutions, and ensure data integrity and accessibility for non-technical stakeholders.

Key Responsibilities:

  • Develop and maintain robust database management solutions using SQL Server and TSQL, encompassing the creation and upkeep of stored procedures to optimise data handling processes.
  • Leverage Python for advanced data manipulation and analysis, crafting efficient workflows and procedures to automate data tasks and diminish processing time.
  • Extract, cleanse, and transform large and unstructured datasets from diverse platforms, ensuring data accuracy, integrity, and suitability for purpose.
  • Collaborate with internal teams to ascertain precise requirements related to data analysis and target market research, collaborating with external data suppliers to uphold data quality and relevance.
  • Administer CRM systems such as Salesforce, conceptualising and implementing features to facilitate data selections, uploads, integrity checks, and maintenance.
  • Develop and deliver comprehensive data analysis reports, translating intricate insights into easily understandable documents for business stakeholders.

Qualifications and Experience:

Minimum Experience:

  • A highly numerate individual with outstanding attention to detail and hands-on experience in data engineering.
  • Demonstrated track record of efficiency, prioritisation, and delivering high-quality outputs in a fast-paced environment.
  • Proven capability in multitasking and managing high-volume data transactions while ensuring accuracy and precision.

Technical and Job-Specific Skills:

  • Proficiency in SQL Server, and the creation/maintenance of stored procedures.
  • Basic to intermediate proficiency in Python for advanced data manipulation and automation.
  • Advanced proficiency in MS Excel for handling complex datasets and executing advanced data manipulations.
  • Strong familiarity with business intelligence tools for data analysis and visualisation.

Behavioural Competencies:

  • Efficiency: Ability to generate accurate results within optimal timeframes.
  • Quality-driven: Prioritisation of high-quality outputs in all tasks.
  • Creativity: Innovative approach to data-driven challenges, bringing fresh perspectives.
  • Teamwork: Collaborative spirit, ensuring seamless intra-team communication and joint problem-solving.
  • Communication: Clear and effective communication in both written and verbal forms.

Our client is an equal-opportunity employer committed to diversity and inclusion in the workplace.

If you are passionate about leveraging data to drive business success and thrive in a collaborative, innovative environment, we want to hear from you! Apply now at

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