Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis (Outside IR35) with a pay rate of "unknown" and is fully remote. Key skills required include expertise in AWS or Azure, Python, ETL development, and big data technologies.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
August 21, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
Remote
-
πŸ“„ - Contract type
Outside IR35
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Java #ADF (Azure Data Factory) #Data Engineering #"ETL (Extract #Transform #Load)" #Monitoring #Hadoop #Data Quality #SQL (Structured Query Language) #AWS (Amazon Web Services) #Azure Data Platforms #Python #Big Data #PySpark #Data Lake #Azure cloud #Databricks #Cloud #Cloudera #Security #Spark (Apache Spark) #Kafka (Apache Kafka) #Azure #Data Lakehouse #Automation #Scala #Data Pipeline
Role description
Lead Data Engineer (Contract – Outside IR35) Remote The Opportunity Our client, a market-leading organisation at the forefront of property data and technology, is looking for a contract Lead Data Engineer to join their team on a key project. This is a contract assignment, offering the chance to deliver complex data engineering solutions in a hands-on role, while guiding and supporting a team of engineers through delivery. This position is well-suited to an experienced contractor who thrives on rolling up their sleeves, taking ownership of project delivery, and ensuring engineering best practices are consistently applied. Key Responsibilities β€’ Lead the technical delivery of data engineering projects, ensuring pipelines and infrastructure are designed, built, and optimised effectively. β€’ Work hands-on with cloud and big data technologies (AWS or Azure, Hadoop, Spark, Kafka). β€’ Mentor and coach engineers, supporting them to overcome challenges and maintain high-quality standards. β€’ Contribute directly to coding, configuration, automation, and troubleshooting of data solutions. β€’ Build, manage, and optimise large-scale data sets to meet project requirements. β€’ Ensure data quality, performance, and availability through monitoring and problem resolution. β€’ Develop ETL workflows and data pipelines using tools such as Azure Data Fabric (ADF), Databricks, and related technologies. β€’ Keep solutions efficient and cost-effective within agreed project budgets. About You The successful Lead Data Engineer will be delivery-focused, highly technical, and confident working in a project-driven environment. You will bring: β€’ Strong coding skills in at least two of: Python, PySpark, Scala, Java, or Spark. β€’ Extensive hands-on experience with big data environments (design, coding, configuration, monitoring, automation, security). β€’ Proven expertise with AWS or Azure data platforms. β€’ Strong background in ETL development and modern data lakehouse technologies. β€’ Ability to guide and mentor engineers in best practices and technical delivery. β€’ Excellent problem-solving and troubleshooting skills. β€’ Strong communication skills to work with engineers and stakeholders effectively. Nice to Have β€’ Advanced SQL and database optimisation skills. β€’ Familiarity with data warehousing design patterns. β€’ Relevant industry certifications (AWS, Azure, Cloudera). Why This Role? This is a hands-on contract where you’ll deliver impactful data engineering solutions at scale, working with modern cloud and big data technologies. You’ll have the chance to lead projects from a technical perspective while remaining deeply involved in delivery β€” ideal for contractors who enjoy being close to the code while guiding others.