Global Data Engineering Leader

Fideo Intelligence, Inc.

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

10 days ago

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Benefits offered by this job

Hybrid working
Pension with company contributions up
Private medical insurance
Subsidised gym membership
Employee Assistance Programme
Free lunch from JustEat for Business
Regular social events
Volunteer hours (16 per year)
Enhanced parental leave

Job summary

Ziff Davis Shopping in London is seeking a Data Engineering Manager to lead a global data architecture initiative, bridging UK and US teams. You will shape the data roadmap and oversee delivery across the portfolio including RetailMeNot, Offers.com, and VoucherCodes.

The role blends leadership with hands-on engineering, mentoring a talented team while driving on-time, high-quality data solutions. Strong AWS, Snowflake/Redshift, Airflow and Python expertise are essential to enable data-informed

Qualifications

  • Experience leading a data engineering team and delivering on a data roadmap.
  • Strong communication with engineers and stakeholders to drive projects.
  • Proficient in AWS data services (Kinesis, Athena, S3) and data warehousing.
  • Hands-on in data engineering with Python and data modelling.

Responsibilities

  • Provide leadership and management in the data domain.
  • Lead on-time, high-quality delivery of the data roadmap.
  • Hands-on role integrating local systems into global solutions.
  • Coach, mentor and inspire team members.

Skills

Data engineering leadership
Team management
AWS (Kinesis, Athena, S3)
Data warehousing (Snowflake, Redshift)
ETL tooling (Airflow)
Python programming
Data modelling
Stakeholder communication

Tools

Airflow
Snowflake
Redshift
Python

Job description

Ziff Davis Shopping in London is seeking a Data Engineering Manager to lead a global data architecture initiative, bridging UK and US teams. You will shape the data roadmap and oversee delivery across the portfolio including RetailMeNot, Offers.com, and VoucherCodes.

The role blends leadership with hands-on engineering, mentoring a talented team while driving on-time, high-quality data solutions. Strong AWS, Snowflake/Redshift, Airflow and Python expertise are essential to enable data-informed

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