6 of 6 Data Engineering Jobs in Merseyside

Lead Cloud Data Engineer – Liverpool – Hybrid - £70k A well-established professional services business that's modernising their data infrastructure and embracing cloud-first technologies are looking for a Lead Cloud Data Enigneer. Based Liverpool City Centre, they're investing significantly in their data capabilities to enhance client services, improve operational efficiency, and drive strategic decision-making … through advanced analytics and robust data management practices. The Role They're looking for an exceptional Lead Cloud Data Engineer to spearhead their data engineering initiatives and drive technical excellence across their cloud infrastructure. You'll be architecting sophisticated data solutions that power critical business operations whilst leading a talented team of engineers. This is … an outstanding opportunity for someone who's passionate about cutting-edge technology and wants to shape the future of enterprise data management. What's on offer: Up to £70k DOE Hybrid working from their Liverpool office – 3 days on site Opportunity to work with industry-leading cloud technologies Leadership role with genuine career progression prospects Collaborative environment with cross More ❯

Data Engineer £55,000 to £65,000 basic salary per annum plus benefits including bonus, pension, 25 days holiday, buy and release annual leave, wellness days, healthcare scheme, excellent career development plans, hybrid-working etc. Our client, a leading UK law firm ranked as one of the best companies to work for in the country, is seeking a Data Engineer to join their AI team on a permanent basis. This is a fantastic opportunity for a Data Engineer to join an innovative law firm where AI has become fundamental to their entire business plan. The successful Data Engineer will split their time between core data engineering tasks and low-code AI product development. This … is a fantastic opportunity for someone with a strong technical background to play a key role in building a brand-new AI-enabled data platform, while also contributing to the development of the AI-driven products it powers. Essential skills: - At least 2-3 years in Data Engineering - Data Warehousing - SQL - Python - Experience with either Power More ❯

Azure Data Engineer - Databricks - Hybrid - Manchester - Up to £65,000 A well-established organisation is seeking a talented Azure Data Engineer to join their growing data team. This is a fantastic opportunity to work on high-impact projects using modern cloud technologies, including Azure and Databricks, in a collaborative and forward-thinking environment. The Role: You'll … be responsible for designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and operational reporting. Working closely with data architects, analysts, and stakeholders, you'll help unlock the value of data across the organisation. Key Responsibilities: Develop and optimise data pipelines using Azure Data Factory, Databricks, and Spark Design and … implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse More ❯

ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on!?? The TeamWe're Intuita - a fast-growing consultancy that's making waves in both the consultancy and technology space. With our ambitious goals for … offer an interesting insight into projects spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors.?? The RoleWe are seeking a skilled Data Engineer, ideally Senior experience to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our … With this in mind, immediate or quick availability is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data More ❯

the smooth and efficient functioning and development of our databases and pipelines. You will be responsible for developing, optimising and managing these databases and ensuring a high-level of data quality and integrity. You will be defining the principles and processes that underpin data management while ensuring we maintain the highest standards for data management, security, privacy … are repeatable and scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy … integrity, and compliance with internal and external regulations. Collaborate with third-party suppliers, software developers, data analysts, DevOps, and other stakeholders to meet project requirements. Plan and implement database backups, restores, and disaster recovery strategies. Taking an active role in supporting and in finding the root cause of operational issues and preventing recurrences. Support the migration of databases and More ❯

the smooth and efficient functioning and development of our databases and pipelines. You will be responsible for developing, optimising and managing these databases and ensuring a high-level of data quality and integrity. You will be defining the principles and processes that underpin data management while ensuring we maintain the highest standards for data management, security, privacy … are repeatable and scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy … integrity, and compliance with internal and external regulations. Collaborate with third-party suppliers, software developers, data analysts, DevOps, and other stakeholders to meet project requirements. Plan and implement database backups, restores, and disaster recovery strategies. Taking an active role in supporting and in finding the root cause of operational issues and preventing recurrences. Support the migration of databases and More ❯