8 of 8 Permanent Big Data Jobs in the East Midlands

the configuration and management of SSO and MFA solutions to streamline user authentication and improve security across cloud and on-premise applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to … define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign-on’s (SSO), biometrics, retina scans. NOT cyber security Technical Skills: Ability to analyze large datasets, identify trends, and use data to inform decision-making. Proficiency in SQL More ❯

the configuration and management of SSO and MFA solutions to streamline user authentication and improve security across cloud and on-premise applications. Proficient in data analysis, data lineage, data profiling, master data management, metadata management, ETL/ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to … define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign-on’s (SSO), biometrics, retina scans. NOT cyber security Technical Skills: Ability to analyze large datasets, identify trends, and use data to inform decision-making. Proficiency in SQL More ❯

locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities IBM is seeking a skilled Senior Data Engineer to join our dynamic team, focusing on public sector accounts. This role offers an exciting opportunity to leverage your expertise in data engineering to drive impactful solutions for government clients. The Senior Data Engineer will be responsible for designing, developing, and managing scalable data pipelines, integrating heterogeneous systems, and implementing robust data models. The ideal candidate will collaborate with cross-functional teams to ensure data integrity, security … specific to the public sector. Required education None Preferred education Bachelor's Degree Required technical and professional expertise Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and engineers to integrate complex data systems. Ensure data quality, accuracy, and reliability More ❯

We’re looking for an experienced Data Engineering Manager to lead a team in designing and building cutting-edge data solutions, driving the strategy for a fast-growing, innovative company. If you're passionate about building scalable data platforms, optimising pipelines, and empowering teams to leverage data effectively, this could be your next big move! What You’ll Do: Lead and mentor a team of data engineers, fostering a high-performance culture Design, build, and optimise data pipelines and platforms to support business insights Work with modern cloud-based data technologies to … ensure scalability and efficiency Collaborate with cross-functional teams to drive data-driven decision-making Ensure best practices in data governance, security, and reliability Key Skills & Experience: ✔️ Proven experience leading data engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data More ❯

company. Key Responsibilities: ️ Build & Optimize : Develop, test, and maintain high-performance back-end services and APIs that are secure, scalable, and efficient. Work with Data : You'll manage both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases, creating flexible and reliable data architectures. ️ Cloud Deployment : Gain hands-on … . ️ Security & Performance Focus : Skilled at implementing authentication, encryption , and performance optimizations . Serverless & Microservices : Familiarity with AWS Lambda , Azure Functions , or microservices architectures. Data & AI : Exposure to big data frameworks, ETL pipelines , or machine learning applications. ️ GDS Standards : An understanding of GOV.UK service standards and accessibility More ❯

KM Recruitment is a specialist UK wide recruiter for the Skills and Employability Sectors Job Title: Assessor/Trainer - Data Technician and Business Analyst Location: Home/Field based - Must be flexible with travel Salary: up to £60,000 + expenses + Much More Type: Full Time, Permanent KM … training organisation who have an exciting period of growth ahead. They are looking to build their team of Specialist Trainers for the delivery of Data Technician and Business Analyst Apprenticeships. The successful candidate will be home based, and deliver engaging workshops/masterclasses to cohorts of learners working towards … Apprenticeship Standards in Data Technician (Level 3) and Business Analyst (Level 4) via a blended learning approach (face-to-face and remote). Essential Criteria; Must hold a Level 3 Teaching qualification: AET/PTLLS or above/equivalent. Ideally hold a recognised Assessor award: D32/33, A1 More ❯

Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths, including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯