

MANNING SERVICES LIMITED
Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer, contract length unspecified, based in Leeds, offering immediate start. Requires 7+ years in data integration tools, 3-5 years management experience, strong skills in Azure, Databricks, SQL Server, and data architecture.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
June 23, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Hadoop #Libraries #Spark SQL #Data Warehouse #Data Integration #Azure Data Factory #Cloud #Scala #Synapse #SQL Server #Consulting #Azure #Pig #Data Framework #Databricks #PySpark #SSIS (SQL Server Integration Services) #Data Engineering #Azure Databricks #Redshift #Snowflake #ERWin #Leadership #Sqoop (Apache Sqoop) #Spark (Apache Spark) #Big Data #Vault #Data Lake #Data Architecture #SQL (Structured Query Language) #Data Pipeline #Airflow #Data Vault #Oracle #ADF (Azure Data Factory)
Role description
Lead Data Engineer
Start date: immediate
Perm/Contract
Leeds-based
β’ No Sponsorship
β’ Provides technical leadership, mentors engineers, and ensures the delivery of scalable data solutions. Azure, Databricks and SQL Server
Exp Required:
β’ 7+years of experience in implementation experience with data integration tools such as Microsoft SSIS, Azure Data Factory, Databricks, Glue, Step Functions, Airflow, Apache Flume/Sqoop/Pig, etc.
β’ 3-5 years of management experience required
β’ 3-5 years consulting experience preferred
β’ Minimum of 5 years of data architecture, data modelling or similar experience
β’ Bachelorβs degree or equivalent experience, Masterβs Degree Preferred
β’ Strong data warehousing, OLTP systems, data integration and SDLC
β’ Strong experience in big data frameworks & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (preferred), Spark Scala or Spark SQL) or Similar, along with experience in libraries / frameworks to accelerate code development
β’ Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.)
β’ Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.)
β’ Strong experience in orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar
β’ Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)
Lead Data Engineer
Start date: immediate
Perm/Contract
Leeds-based
β’ No Sponsorship
β’ Provides technical leadership, mentors engineers, and ensures the delivery of scalable data solutions. Azure, Databricks and SQL Server
Exp Required:
β’ 7+years of experience in implementation experience with data integration tools such as Microsoft SSIS, Azure Data Factory, Databricks, Glue, Step Functions, Airflow, Apache Flume/Sqoop/Pig, etc.
β’ 3-5 years of management experience required
β’ 3-5 years consulting experience preferred
β’ Minimum of 5 years of data architecture, data modelling or similar experience
β’ Bachelorβs degree or equivalent experience, Masterβs Degree Preferred
β’ Strong data warehousing, OLTP systems, data integration and SDLC
β’ Strong experience in big data frameworks & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (preferred), Spark Scala or Spark SQL) or Similar, along with experience in libraries / frameworks to accelerate code development
β’ Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.)
β’ Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.)
β’ Strong experience in orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar
β’ Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)






