Head of Data Engineering

Employer
REED.CO.UK
Location
Holborn, UK
Salary
Competitive
Closing date
26 Sep 2020

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Sector
Technology & New Media
Contract Type
Permanent
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Overview

reed.co.uk is the UK's biggest source of unique job content and attracts millions of jobseekers everyday. An exciting opportunity has arisen for an experienced data professional to join reed.co.uk as Head of Data and be responsible for owning the data strategy. The successful candidate will lead the development of a unified data ecosystem, driving business' ability to create and utilise numerous AI/ML models, delivering great matchmaking capabilities between job seekers and their next opportunity, and enabling the data driven decision making in real time powering a new performance based model.

Based in our London office, this hands-on management role is a perfect opportunity for a highly skilled Data leader passionate about driving change and delivering tangible value.

Key Responsibilities

  • Drive design, implementation and adoption of a modern, highly connected data ecosystem, providing governance and regulations and replacing legacy, organically grown systems and tools.
  • Create data infrastructure to enable real time, programmatic data analysis and decision making based on AI/ML models.
  • Identify and deliver on opportunities for data science to bring value to our customers and users at mass and at pace.
  • Lead a team of DB engineers, data scientists, data engineers, ML engineers and BI developers, driving excellence and innovation across the board.
  • In collaboration with other relevant teams, ensure highest levels of compliance with relation to data collection and retention. Maintain and improve a Data Privacy Impact Assessment framework, identify risks and suggest mitigations.
  • Work with senior leadership to identify and drive growth opportunities based on data, educating and helping us transform to a truly data driven company.


Skills and Experience

  • Understanding and experience of applying Data Science techniques and methodologies to a wide range of problems.
  • Proven practical experience in design, development and optimisation of complex real time streaming data pipelines, models and algorithms.
  • Practical knowledge of AWS, GCP (including specific data related tech and services), Snowflake, BigQuery and visualisation tools.
  • Strong technical knowledge of SQL, No-SQL, Big Data and DWH concepts and technologies.
  • Experience with DevOps.
  • Experience working across multiple data sources including marketing, sales and customer data.
  • Strong leadership capabilities.
  • Strong communication and stakeholder management ability on all levels.
  • 5+ years of proven experience in senior leadership roles in the Data domain.
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