

Haystack
Azure Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a senior-level Azure Data Engineer on a fully remote, outside IR35 contract. Key skills include Azure Data Factory, Databricks, Python, and SQL. Requires extensive experience in ETL development and scalable data architectures. Immediate start available.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
April 4, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Outside IR35
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Synapse #Azure Data Factory #Python #"ETL (Extract #Transform #Load)" #Cloud #Data Engineering #Databricks #Azure #DevOps #Azure Synapse Analytics #Spark (Apache Spark) #SQL (Structured Query Language) #Data Lake #Data Pipeline #Deployment #Data Architecture #ADF (Azure Data Factory) #Scala #Apache Spark #Data Warehouse #Azure SQL #Data Processing
Role description
We're working with a dynamic digital transformation consultancy on this exciting opportunity.
Are you a cloud data expert looking for a high-impact contract? We are seeking a senior-level Azure Data Engineer to spearhead the development of scalable, cloud-native data platforms and high-performance pipelines. You'll be leveraging the full power of Azure Data Factory, Databricks, and Spark to solve complex data challenges in a fast-paced environment.
The Role
β’ Architect and build robust, scalable ETL/ELT data pipelines using Azure Data Factory and Azure Data Lake.
β’ Drive data warehouse development and optimization using Azure SQL and Azure Synapse Analytics.
β’ Implement high-performance data processing solutions using Spark and Databricks clusters.
β’ Collaborate with cross-functional stakeholders to integrate diverse data sources into a unified cloud architecture.
β’ Champion engineering best practices by contributing to CI/CD pipelines and automated deployment processes.
What You'll Need
β’ Deep technical expertise across the Azure Data Stack, specifically Azure Data Factory, Azure Data Lake, and Azure SQL.
β’ Mastery of Python and SQL for advanced data engineering and complex ETL development.
β’ Extensive hands-on experience with Databricks and Apache Spark for large-scale data processing.
β’ Proven track record of building and maintaining scalable data architectures and modern data warehousing solutions.
β’ Strong understanding of DevOps practices and CI/CD integration within a data environment.
What's On Offer
β’ Outside IR35 contract status providing professional autonomy.
β’ 100% Fully Remote working (must be UK-based).
β’ Immediate start with an incredibly fast-paced interview and onboarding process.
β’ Opportunity to work on high-profile, cloud-first infrastructure projects.
Apply via Haystack today!
We're working with a dynamic digital transformation consultancy on this exciting opportunity.
Are you a cloud data expert looking for a high-impact contract? We are seeking a senior-level Azure Data Engineer to spearhead the development of scalable, cloud-native data platforms and high-performance pipelines. You'll be leveraging the full power of Azure Data Factory, Databricks, and Spark to solve complex data challenges in a fast-paced environment.
The Role
β’ Architect and build robust, scalable ETL/ELT data pipelines using Azure Data Factory and Azure Data Lake.
β’ Drive data warehouse development and optimization using Azure SQL and Azure Synapse Analytics.
β’ Implement high-performance data processing solutions using Spark and Databricks clusters.
β’ Collaborate with cross-functional stakeholders to integrate diverse data sources into a unified cloud architecture.
β’ Champion engineering best practices by contributing to CI/CD pipelines and automated deployment processes.
What You'll Need
β’ Deep technical expertise across the Azure Data Stack, specifically Azure Data Factory, Azure Data Lake, and Azure SQL.
β’ Mastery of Python and SQL for advanced data engineering and complex ETL development.
β’ Extensive hands-on experience with Databricks and Apache Spark for large-scale data processing.
β’ Proven track record of building and maintaining scalable data architectures and modern data warehousing solutions.
β’ Strong understanding of DevOps practices and CI/CD integration within a data environment.
What's On Offer
β’ Outside IR35 contract status providing professional autonomy.
β’ 100% Fully Remote working (must be UK-based).
β’ Immediate start with an incredibly fast-paced interview and onboarding process.
β’ Opportunity to work on high-profile, cloud-first infrastructure projects.
Apply via Haystack today!





