of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯
in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity More ❯
core concepts like OOP, multithreading, and memory management. Experience with AWS services for cloud computing and infrastructure management including deployment via Terraform for infrastructure as code Commercial experience with Snowflake or Databricks would be preferred or experience with SQL and NoSQL databases and data pipelines. JavaScript/TypeScript/HTML/CSS knowledge & Frontend Framework experience (React/Angular) Mentorship More ❯
assist with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification More ❯
analysis projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams A problem-solver with a More ❯
logic Exceptional time management skills and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power More ❯
Some of the languages and technologies that you could be exposed to include java & javascript (front-end and backend); AWS, docker & Kubernetes; HTML/CSS, React & REST; Oracle, MongoDB, Snowflake; maven, Jenkins (pipelines), terraform. The exact tech will depend upon the agile team that you join. Learn from the best (and maybe teach us something along the way!), come and More ❯
and build the capabilities that will define the data-driven future of a business with a 300-year heritage. With a clear plan and the technology in place (InvestCloud, Snowflake, Alteryx, and Power BI) it’s the ideal setting to show how your data leadership skills can transform business performance and client outcomes. Reporting to the Group Data & Analytics Director … manager for each area, who’ll look to you for direction and coaching. Leading on data engineering to ensure high-quality, accessible data; designing and protecting data pipelines (e.g. Snowflake). Implementing data governance frameworks, ensuring regulatory and security compliance; embedding the principles across the business, and managing emerging risks. Providing strategic insight and recommendations to the COO and leadership More ❯
