26 to 33 of 33 Data Pipeline Jobs in the East of England

Senior/Lead Data Engineer 📍 Cheshire (Office Based - free Gym, parking and lunch) 💰 Up to £110,000 + Private Medical + 8% Pension + up to 3 x pay rises per year!! Are you a passionate Data Engineer ready to architect a world-class data infrastructure in a fast-growing SaaS company? Loop Recruitment … is seeking a talented Senior/Lead Data Engineer to drive innovation, champion best practices, and shape the future of data-driven decision-making. What You’ll Bring 🔥2+ years as a Senior/Lead Data Engineer (managing re-architecture projects) ⚙️Expertise in SQL, Python, and data engineering best practices (testing, CI …/CD) 🚀Hands-on experience building scalable data pipelines in a modern cloud environment (dbt, AWS Glue, Lake Formation, Spark, Redshift) 💡Firm understanding of data modelling, ELT design patterns, governance & security 📈Ability to thrive independently, taking ownership of complex, ambiguous problems 🗣️Excellent communication to build strong relationships and align stakeholders 🤓 A genuine enthusiasm for data More ❯

Fabric Consultant Location: Hybrid in London Salary: Up to £90,000 + Benefits Are you passionate about data engineering? Join a leading Microsoft partnered consultancy delivering cutting-edge solutions with Azure, Power BI, and Microsoft Fabric. This is your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential … of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data engineering tasks. Research and integrate the latest cloud-based technologies. Requirements: Proven experience in data engineering with Azure tools (Synapse, Data Factory, Databricks). Experience with Microsoft Fabric. Strong Python programming skills. Knowledge of data modelling and Kimball methodology. Excellent communication and problem-solving skills. Fabric certifications are highly desirable Benefits: Competitive salary and bonus scheme Private medical cover, life assurance, and pension. Hybrid working. And more More ❯

We’re partnering with a leading entertainment company seeking to hire a Lead Data BI Analyst to play a key role in their data operations and business intelligence initiatives. Key Responsibilities: Oversee the daily operations of BI data pipelines, reporting platforms, and cloud-based ETL/ELT workflows (AWS, Redshift, Glue, Airflow). Develop … track system health, availability, and operational performance. Manage and resolve Level 2 incidents Conduct root cause analyses and implement corrective actions to enhance platform stability and prevent Supervise data validation and ensure adherence to governance frameworks. Automate key operational and support activities such as monitoring, alerting, and reporting to increase reliability and efficiency. Collaborate with cross-functional teams … DevOps, Data Engineering, AI) to coordinate system fixes, enhancements, and improvements. Essential Skills & Experience: A minimum of 3 years in AWS-based BI/Data Engineering production support. AWS BI Stack: Redshift, Glue, Airflow, S3, Step Functions. Experience in data modeling, ETL pipelines, and reverse engineering. Proficiency in Power BI (preferred), Business Objects, or More ❯

are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing … models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization, and monitoring. Architect secure ML/AI systems on More ❯

delivering high-quality, scalable, and integrated solutions. This role combines technical leadership, systems thinking, and people management, with a strong focus on interoperability between built and bought systems, data protection, and sustainable delivery. Key Responsibilities: Lead, mentor, and support a cross-functional team of engineers, fostering a high-performance and inclusive engineering culture. Provide architectural oversight across the … ensuring they meet enterprise and operational standards. Oversee the design, build, testing, and long-term management of integrations between in-house and vendor platforms. Ensure responsible stewardship of data—maintaining data quality, access controls, protection, and lifecycle management. Collaborate with product leaders and business stakeholders to shape technical delivery plans that support strategic goals. Drive engineering … or SaaS systems within a broader IT estate. Strong understanding of non-functional requirements and architectural principles for distributed, cloud-native systems. Experience building and maintaining robust APIs, data pipelines, and secure system integrations. Knowledge of DevOps practices, CI/CD, infrastructure-as-code, and cloud platforms (preferably Azure). Excellent communication, influencing, and stakeholder management skills. Ability More ❯

AI to automate workflows, enhance decision-making, and unlock productivity across business functions like Finance, HR, and Operations. This is a client-facing delivery role within a leading Data & AI transformation consultancy, working alongside world-class data scientists, engineers, and strategists to move ideas from concept to production. 🔍 The Role Lead the definition and delivery of … Partner with business and technical stakeholders to identify high-value AI opportunities and shape product roadmaps. Translate requirements into actionable user stories and acceptance criteria for engineering and data teams. Collaborate closely with teams building solutions using RAG pipelines, LLMs, embeddings, and API integrations. Define and track KPIs such as accuracy, latency, adoption, and ROI — iterating based on … governance, and responsible AI. Foster agile, transparent, and outcome-driven ways of working across mixed client-consultancy teams. 💡 About You Proven experience as a Product Manager in AI, data, or enterprise technology environments. Hands-on exposure to AI MVPs, LLM applications, or applied ML use cases (e.g. RAG, copilots, generative search). Strong technical grounding in vector search More ❯

SAST/SCA findings, fuzzing results) in a scalable, tool-agnostic fashion. Develop and maintain ETL pipelinesand database schemas for high-throughput ingestion and historical trend analysis. Expose data via well-documented REST APIsfor dashboards, automation, and downstream integrations. Collaborate with security and engineering teamsto define metrics, alerts, and dashboard views that surface critical trends and anomalies. Instrument … observabilityand performance monitoring (metrics, dashboards) to ensure maximum throughput and reliability. Develop custom solutionsfor aggregating BOMs into hierarchical system views and conducting searches across products. Documentprocesses, data models, and operational runbooks to enable smooth adoption. Required Skills and Experience Strong coding ability inPythonand comfortable in scripting (e.g. bash). Shown experience building backend services and data … SAST and SCA tools (e.g., Coverity, Black Duck) and experience understanding their findings. Experience defining and visualizing key security and performance metrics within dashboard solutions. Experience with security data formats (e.g. SARIF) Join us to build the foundational security platform that elevates visibility across Arm-apply today! Accommodations at Arm At Arm, we want to build extraordinary teams. More ❯

Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with a highly skilled team … AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing and analysis Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with … on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and private healthcare Flexible hybrid working 28 days’ holiday + bank holidays If this position seems like More ❯