Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6-month contract with hybrid working in London, offering market rates. Key skills include ETL/ELT, Snowflake, Python, SQL, and cloud platforms. Experience in data governance and collaboration is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 12, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Outside IR35
🔒 - Security clearance
Yes
📍 - Location detailed
London, England, United Kingdom
🧠 - Skills detailed
#Data Governance #Data Integrity #Python #Data Analysis #Data Warehouse #BI (Business Intelligence) #Strategy #Compliance #dbt (data build tool) #Data Engineering #Data Pipeline #Consul #"ETL (Extract #Transform #Load)" #SQL Queries #Vault #Snowflake #AI (Artificial Intelligence) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Science #Data Processing #Airflow #Azure #Visualization #Security #Data Vault #Scala #Infrastructure as Code (IaC) #GitHub #Alation #Terraform #Version Control #Database Design #Data Quality #Microsoft Power BI #Cloud
Role description

About

Senior Data Engineer Hybrid working (3 days per week onsite in London) 6 Month contract initially, good scope for extension Market rates (Umbrella-PAYE)

One of our blue chip clients are looking for a number Senior Data Engineer to join the team on a long term programme of work.

Key Responsibilities

   • ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.

   • Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

   • Mentor junior engineers and lead technical discussions to drive best practices and innovation within the team.

   • Stay up to date with the latest trends and technologies in data engineering and recommend solutions to improve data processing capabilities.

   • Query Optimization & Data Transformation: Write and optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques

   • Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence.

   • Cross-Team Collaboration: Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that support data-driven insights and innovation.

   • Stakeholder Engagement: Engage with business stakeholders to understand requirements and translate them into technical solutions that add value.

   • Data Quality & Governance: Implement and enforce data governance and quality processes, ensuring accurate and consistent data flows across all systems.

   • Cloud & Infrastructure Support: Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions.

   • Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability.

Key Skills / Experience

   • ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow

   • Experience in designing and implementing data products and solutions on cloud-based architectures.

   • Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as Snowflake, and AWS/Azure

   • GitHub Skills and Experience: Proficiency in using GitHub for version control, code collaboration and managing data engineering projects

   • Data Governance and Compliance: Expertise in implementing data governance frameworks in Alation, including data quality management and compliance with industry regulations.

   • Effective Communication and Collaboration: Excellent communication skills for interacting with stakeholders, presenting technical concepts, and collaborating with cross-functional teams.

   • Collaboration & Communication: Strong interpersonal skills with the ability to work cross-functionally with stakeholders, engineers, and analysts.

   • SQL Proficiency: Expertise in writing complex SQL queries, query optimization, and database design for analytics.

   • Problem-Solving & Analytical Thinking: Ability to think critically and solve complex problems, translating business requirements into actionable insights. Desirable skills/knowledge/experience:

   • Knowledge of Data Visualization Tools: Experience with tools such as MicroStrategy / Power BI

   • Terraform: Experience with Terraform and Terragrunt for infrastructure as code

   • GenAI: Experience with Generative AI technologies

This is a great opportunity on a long running programme of work. Apply now for your CV to reach me directly and we will reply as soon as possible.

LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period

Nice-to-have skills

   • ETL

   • Python

   • SQL

   • Terraform

   • AWS

   • Azure

   • Github

   • Power BI

   • London, England

Work experience

   • Data Engineer

   • Data Infrastructure

   • Data Analyst

Languages

   • English