Global Data Engineering Manager - Hybrid & Growth

Vouchercodes

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

7 days ago
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Benefits offered by this job

Hybrid working
Pension with employer contributions up
Private medical insurance
Subsidised gym membership
Employee Assistance Programme
Free lunch from JustEat for Business
Regular social events
Volunteering time
Enhanced parental leave
Donation matching

Job summary

Ziff Davis Shopping is seeking a Data Engineering Manager to lead the global data architecture and drive data-informed experiences acrossVoucherCodes.co.uk, RetailMeNot, Offers.com, and more. You will manage a cross‑regional team (UK and USA) and shape the data roadmap while delivering scalable, high‑quality data solutions.

The role combines leadership with hands-on data engineering, working across on‑premise and cloud platforms and collaborating with engineering and product teams to align data

Qualifications

  • Experience managing a team and senior-level hands-on data engineering experience.
  • Excellent communication and leadership skills.
  • Proficient in AWS (Kinesis, Athena, S3) and data warehousing.
  • Experience with Airflow or similar ETL tools, Python, and data modelling knowledge.
  • Ability to collaborate with engineers and stakeholders.

Responsibilities

  • Providing leadership and management in the data domain
  • Leading and ensuring on time and high quality delivery of the data roadmap
  • Hands-on role continuing to combine local systems into global solutions
  • Coaching, mentoring and inspiring members of your team

Skills

Team leadership
Communication
Python
Data modelling

Tools

AWS (Kinesis, Athena, S3)
Airflow
Snowflake
Redshift

Job description

Ziff Davis Shopping is seeking a Data Engineering Manager to lead the global data architecture and drive data-informed experiences acrossVoucherCodes.co.uk, RetailMeNot, Offers.com, and more. You will manage a cross‑regional team (UK and USA) and shape the data roadmap while delivering scalable, high‑quality data solutions.

The role combines leadership with hands-on data engineering, working across on‑premise and cloud platforms and collaborating with engineering and product teams to align data

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