new tools or technologies as needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such as Spark, Hadoop, or Kafka More ❯
South East London, England, United Kingdom Hybrid / WFH Options
FairPlay Sports Media
About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯
london, south east england, united kingdom Hybrid / WFH Options
FairPlay Sports Media
About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
FairPlay Sports Media
About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯
slough, south east england, united kingdom Hybrid / WFH Options
FairPlay Sports Media
About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯
gillingham, south east england, united kingdom Hybrid / WFH Options
Harnham
engineering, analytics engineering, or a similar role. Proficiency in SQL and/or Python for data transformation and automation. Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery). Strong understanding of data modelling, ETL/ELT workflows, and data validation. Experience with BI tools such as Power BI, Tableau, or Looker. Ability to translate complex data More ❯
South East London, England, United Kingdom Hybrid / WFH Options
83data
years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
london, south east england, united kingdom Hybrid / WFH Options
83data
years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
83data
years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
slough, south east england, united kingdom Hybrid / WFH Options
83data
years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
Job Title: Senior Data Engineer Key Requirements: 4-8 years of experience from tier 1 or 2 big tech companies Job Location: Abu Dhabi, UAE Benefits: Work with cutting-edge technology through modern infrastructure and automation projects Thrive in a More ❯
Job Title: Senior Data Engineer Location: Abu Dhabi Job Summary: As a Senior Data Engineer , you will be responsible for designing, developing, and maintaining advanced, scalable data systems that power critical business decisions. You will lead the development of robust More ❯
london (city of london), south east england, united kingdom
Robert Walters
Job Title: Senior Data Engineer Key Requirements: 4-8 years of experience from tier 1 or 2 big tech companies Job Location: Abu Dhabi, UAE Benefits: Work with cutting-edge technology through modern infrastructure and automation projects Thrive in a More ❯
london (city of london), south east england, united kingdom
AI71
Job Title: Senior Data Engineer Location: Abu Dhabi Job Summary: As a Senior Data Engineer , you will be responsible for designing, developing, and maintaining advanced, scalable data systems that power critical business decisions. You will lead the development of robust More ❯
Job Title: Senior Data Engineer Key Requirements: 4-8 years of experience from tier 1 or 2 big tech companies Job Location: Abu Dhabi, UAE Benefits: Work with cutting-edge technology through modern infrastructure and automation projects Thrive in a More ❯
Job Title: Senior Data Engineer Location: Abu Dhabi Job Summary: As a Senior Data Engineer , you will be responsible for designing, developing, and maintaining advanced, scalable data systems that power critical business decisions. You will lead the development of robust More ❯
familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯
familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯
THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯
THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯
THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯
and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯
and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯
and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯
london (city of london), south east england, united kingdom
TechYard
and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯