

Data Engineer – Cloud Data Platforms, AI & Automation
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer focused on Cloud Data Platforms, AI & Automation, offering a contract with a competitive daily rate. Key skills include SQL, Python, and experience with data tools like Spark and Airflow. Industry experience in technology, media, or financial services is preferred. Hybrid work location across UK/EU.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #BigQuery #ADF (Azure Data Factory) #dbt (data build tool) #Version Control #Python #Automation #Airflow #Spark (Apache Spark) #SQL (Structured Query Language) #Databricks #Kafka (Apache Kafka) #AWS Glue #DevOps #Azure #"ETL (Extract #Transform #Load)" #Consulting #Batch #ML (Machine Learning) #Data Engineering #AI (Artificial Intelligence) #Azure Data Factory #Data Lake #Data Science #Model Deployment #Scala #AWS (Amazon Web Services) #Deployment #Cloud #Snowflake #Monitoring
Role description
🚀 Be part of the future of data engineering
We’re seeking experienced Data Engineers to design, build, and scale modern data platforms that power analytics, AI, and automation across various industries, including technology, media, automotive, supply chain, energy, agriculture, retail, e-commerce, and financial services.
This is an opportunity to work on large-scale, impactful projects with global reach — collaborating with teams that are transforming how enterprises use data to drive change.
What you’ll do
• Build and optimize data pipelines (batch & streaming) for cloud-native platforms.
• Architect and operate data lakes, lakehouses, and warehouses to enable advanced analytics and AI.
• Implement ETL/ELT frameworks with a strong focus on quality, governance, and scalability.
• Collaborate with data scientists and product teams to deliver AI/ML solutions into production.
• Contribute to automation & orchestration (Airflow, dbt, CI/CD, RPA/RFA frameworks).
• Drive best practices in MLOps/DevOps, version control, monitoring, and deployment.
What you bring
• Strong skills in SQL and Python.
• Hands-on experience with data tools such as Spark, Kafka, Airflow, dbt, Databricks, Snowflake, Azure Data Factory, AWS Glue, or BigQuery.
• Knowledge of MLOps/DevOps, CI/CD, feature stores, and model deployment pipelines.
• Exposure to AI and intelligent automation (RPA/RFA) projects.
• Background in consulting, digital transformation, or enterprise-scale data initiatives is a plus.
• Domain knowledge in technology, media, manufacturing, automotive, supply chain/logistics, energy, agriculture, or financial services is highly valued.
What’s on offer
• Cutting-edge projects in cloud, AI, and digital transformation.
• International collaboration with experts across multiple sectors.
• Choice of engagement: contract (daily rate) or permanent (salary package).
• Flexible, hybrid work options (across UK/EU).
• Career growth, certifications, and the chance to make a visible impact.
How to apply
If this sounds like you, please share your:
• CV with all relevant skills/experience
• Preferred daily rate or salary range
• Your right to work in the UK
• Availability to interview and earliest start date
Will respond from 29th August onwards:
Marina Economidou, Senior Client Partner
marina.economidou@templeton-recruitment.com
🚀 Be part of the future of data engineering
We’re seeking experienced Data Engineers to design, build, and scale modern data platforms that power analytics, AI, and automation across various industries, including technology, media, automotive, supply chain, energy, agriculture, retail, e-commerce, and financial services.
This is an opportunity to work on large-scale, impactful projects with global reach — collaborating with teams that are transforming how enterprises use data to drive change.
What you’ll do
• Build and optimize data pipelines (batch & streaming) for cloud-native platforms.
• Architect and operate data lakes, lakehouses, and warehouses to enable advanced analytics and AI.
• Implement ETL/ELT frameworks with a strong focus on quality, governance, and scalability.
• Collaborate with data scientists and product teams to deliver AI/ML solutions into production.
• Contribute to automation & orchestration (Airflow, dbt, CI/CD, RPA/RFA frameworks).
• Drive best practices in MLOps/DevOps, version control, monitoring, and deployment.
What you bring
• Strong skills in SQL and Python.
• Hands-on experience with data tools such as Spark, Kafka, Airflow, dbt, Databricks, Snowflake, Azure Data Factory, AWS Glue, or BigQuery.
• Knowledge of MLOps/DevOps, CI/CD, feature stores, and model deployment pipelines.
• Exposure to AI and intelligent automation (RPA/RFA) projects.
• Background in consulting, digital transformation, or enterprise-scale data initiatives is a plus.
• Domain knowledge in technology, media, manufacturing, automotive, supply chain/logistics, energy, agriculture, or financial services is highly valued.
What’s on offer
• Cutting-edge projects in cloud, AI, and digital transformation.
• International collaboration with experts across multiple sectors.
• Choice of engagement: contract (daily rate) or permanent (salary package).
• Flexible, hybrid work options (across UK/EU).
• Career growth, certifications, and the chance to make a visible impact.
How to apply
If this sounds like you, please share your:
• CV with all relevant skills/experience
• Preferred daily rate or salary range
• Your right to work in the UK
• Availability to interview and earliest start date
Will respond from 29th August onwards:
Marina Economidou, Senior Client Partner
marina.economidou@templeton-recruitment.com