8 of 8 Data Lake Jobs in Manchester

Senior Data Engineer, Databricks, £ 60000 - 70000 + benefits. Strong Data Modelling, Data Design and Databricks required. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks and Performant SQL is required for this role as is very … SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Good experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand ...

summary Working within the Data Engineering team which delivers and maintains data transfer pipelines between clinical/operational source systems and the Christie Central Data Repository (CCDR) enabling the delivery of high-quality business and complex clinical reporting structures from disparate systems. … seeking an experienced Data Architect with a strong background in data modelling and extensive experience of modern mainstream data platforms. This role will support the Data Engineering modernisation programme focused on automating data integration and building robust data ...

Role: Lead Data Engineer Salary: £85,000 - £95,000 per annum Location: Manchester (Remote/Once a month) VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a principal data engineer to lead … Flow, Data Fusion, and Data Stream. Deep understanding of Data Mesh/decentralised design and Data Lake/Warehouse solutions. Previously led teams of data engineers. Hands on skills across the GCP tech stack, SQL and Python. Ability ...

Role: Principal Data Engineer Salary: £85,000 - £95,000 per annum Location: Manchester (Remote/Once a month) VIQU have partnered with a national organisation going through an exciting transformation in their data infrastructure and so are hiring a principal data engineer to lead … Flow, Data Fusion, and Data Stream. Deep understanding of Data Mesh/decentralised design and Data Lake/Warehouse solutions. Previously led teams of data engineers. Hands on skills across the GCP tech stack, SQL and Python. Ability ...

work closely with internal teams to design, build, and optimise data models and ingestion pipelines, contributing to a new data lake and a robust gold-layer architecture. You'll also have the chance to shape ML-ready pipelines and mentor more junior data engineers. What you'll be doing Building scalable data models and ingestion pipelines for a new data lake Working across multiple data domains and supporting internal partners Designing and delivering high-quality datasets for BI, insights, and analytics use cases Collaborating ...

Senior Data Solutions Architect - Consultancy I'm partnered with a leading consultancy that's delivering cutting-edge data and technology solutions for their clients. They're looking for a Senior Data Solutions Architect to join their high performing team in Manchester or London … role, with 1–2 days per week in the office or client site. You'll lead projects involving Single Customer Views (SCVs), Customer Data Platforms (CDPs), Data Lakes, and data models to support application development and drive client's marketing and sales capabilities. ...

Urgent Opportunity- Databricks Data Architect - Contract/Permanent Opportunity- Remote - 12 months + extension- Full-time- United Kingdom Our international IT Consulting client is looking for Databricks Data Architect as below. Urgent opportunity with Competitive Rates & Immediate Interviews! Job Title: Databricks Data Architect Engagement … Option also Considered Skills required: Bachelor's or Master's degree in Business/IT/related field 10 years in BI/Data Warehousing (at least 4 years in technical or solution architecture roles) 3–5 years of hands-on experience in enterprise data modelling ...

forces proactively understand and mitigate cyber risks at both national and local levels. Key Responsibilities Responsible?for?gathering, normalising, and integrating cybersecurity-related data from multiple sources (e.g., SIEM, threat feeds, vulnerability sources, and cloud platforms) to?develop trends and to detect?threats,?vulnerabilities,?and anomalies. ? Ability … translate raw data into meaningful insights that inform security posture or service improvements. Development of dashboards, reports, and visualisations to communicate data analysis, security posture, trends, and emerging threats to both internal and external stakeholders. Designing, developing, implementing, and monitoring key performance indicators (KPIs) that measure ...