Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer focused on M&A Data Integration, fully remote, with a contract length of "unknown" and a pay rate of £550-£600 outside IR35. Requires 8+ years in data engineering, Azure expertise, SQL, Python, and experience with 20+ enterprise systems.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Strategy #Automation #Data Lake #Data Migration #"ETL (Extract #Transform #Load)" #Oracle #CRM (Customer Relationship Management) #SAP #MDM (Master Data Management) #Alation #Azure cloud #Scala #Data Integration #Azure #Data Management #Compliance #Datasets #SQL (Structured Query Language) #Data Engineering #Data Pipeline #Synapse #Security #GDPR (General Data Protection Regulation) #Workday #ADF (Azure Data Factory) #Databricks #Azure Data Factory #Migration #Cloud #Data Governance #Python
Role description
Lead Data Engineer - M&A Data Integration
Fully Remote
£550-£600 outside IR35
About The Role
We are seeking an experienced Lead Data Engineer to play a critical role in integrating data assets following a major acquisition. The acquired company operates across 20+ enterprise application systems, and this role will lead the extraction, transformation, and migration of that data into the parent company's environment.
Key Responsibilities
Lead the design and execution of large-scale data migrations from acquired companies into the Azure ecosystem.
Own the end-to-end ETL/ELT pipeline strategy, ensuring scalability, resilience, and automation.
Partner with business, IT, and integration teams to map legacy enterprise applications (ERP, CRM, HRIS, Finance, industry-specific platforms) into standardized data models.
Drive data harmonization, deduplication, and master data management (MDM) to enable a single source of truth.
Establish and enforce data governance, lineage, and quality frameworks across acquired datasets.
Leverage Azure-native services such as Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Purview to build modern, cloud-first data pipelines.
Act as a point of escalation for data integration issues and ensure rapid resolution in a fast-paced environment.Qualifications
8+ years of experience in data engineering, including leading enterprise-scale migrations.
Proven track record in Azure cloud data services (ADF, Synapse, Databricks, Data Lake, Purview, Event Hubs, Functions).
Strong proficiency in SQL and Python
Experience integrating 20+ enterprise systems such as SAP, Oracle, Dynamics 365, Salesforce, Workday, or ServiceNow.
Deep understanding of ETL/ELT frameworks, data warehousing, and streaming architectures.
Hands-on experience with data governance, compliance, and security (GDPR, HIPAA, SOX).
Exceptional ability to communicate with business leaders, architects, and technical teams.
Prior experience in M&A integration projects would be desirable Experience working in high-growth, fast-paced environments where priorities shift quickly is essential.
We're looking for someone who can start quickly - so maximum of a 2 week notice period is essential
Lead Data Engineer - M&A Data Integration
Fully Remote
£550-£600 outside IR35
About The Role
We are seeking an experienced Lead Data Engineer to play a critical role in integrating data assets following a major acquisition. The acquired company operates across 20+ enterprise application systems, and this role will lead the extraction, transformation, and migration of that data into the parent company's environment.
Key Responsibilities
Lead the design and execution of large-scale data migrations from acquired companies into the Azure ecosystem.
Own the end-to-end ETL/ELT pipeline strategy, ensuring scalability, resilience, and automation.
Partner with business, IT, and integration teams to map legacy enterprise applications (ERP, CRM, HRIS, Finance, industry-specific platforms) into standardized data models.
Drive data harmonization, deduplication, and master data management (MDM) to enable a single source of truth.
Establish and enforce data governance, lineage, and quality frameworks across acquired datasets.
Leverage Azure-native services such as Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Purview to build modern, cloud-first data pipelines.
Act as a point of escalation for data integration issues and ensure rapid resolution in a fast-paced environment.Qualifications
8+ years of experience in data engineering, including leading enterprise-scale migrations.
Proven track record in Azure cloud data services (ADF, Synapse, Databricks, Data Lake, Purview, Event Hubs, Functions).
Strong proficiency in SQL and Python
Experience integrating 20+ enterprise systems such as SAP, Oracle, Dynamics 365, Salesforce, Workday, or ServiceNow.
Deep understanding of ETL/ELT frameworks, data warehousing, and streaming architectures.
Hands-on experience with data governance, compliance, and security (GDPR, HIPAA, SOX).
Exceptional ability to communicate with business leaders, architects, and technical teams.
Prior experience in M&A integration projects would be desirable Experience working in high-growth, fast-paced environments where priorities shift quickly is essential.
We're looking for someone who can start quickly - so maximum of a 2 week notice period is essential
