15 of 15 Data Pipeline Jobs in Dartford

Lead Data Scientist (Equity Only) - 1% Job Details Location: Dartford, United Kingdom Job Category: Other EU Work Permit Required: Yes Job Description Luupli is a social media app 'in development' that aims to provide opportunities for diverse creators from marginalized communities. The platform will highlight their work and offer access to social media opportunities. Role Overview: As a … Lead Data Scientist, you will leverage AWS analytics services to analyze data, collaborate with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals with teams. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in More ❯

technologies to improve safety and the ease of use - they have introduced several industry-first products and maintain a strong focus on research and development. As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Virtual job fairs Role … Responsibilities: Data Infrastructure & Support: Provide first-line support for data engineering tasks, such as managing and monitoring data pipelines, resolving issues, and ensuring data integrity. Work with both structured and unstructured datasets to design and implement data models, perform data cleansing, transformation, and validation. Maintain accurate documentation of … resources and troubleshooting data-related errors. Collaborate with business stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist More ❯

EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting … throughout the development lifecycle. Collaborate with multidisciplinary teams, including a wide range of other roles, to shape solutions that meet both technical and business requirements. Mentor and support data engineering teams, fostering a culture of continuous improvement, knowledge sharing, and technical excellence. Support testing activities by ensuring pipelines are testable, observable, and reliable; work with QA and analysts … to define test strategies, implement automated tests, and validate data quality and integrity. Contribute to technical planning, including estimation, risk assessment, and defining delivery approaches for client engagements and new opportunities. Engage with clients and stakeholders, translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development More ❯

Social network you want to login/join with: We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and … policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk. The Role: Designing and implementing data pipelines and models, ensuring data quality and integrity. Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources. Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs. Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way. Staying up-to-date with industry trends and best practices in data modelling, database development More ❯

recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world … Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. … Establish and enforce data governance policies and be ‘hands-on’ in exploratory data analysis to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and More ❯

Head of Data Engineering & Governance Investment & Wealth Management Hybrid (3 days at home with 2 days traveling in the UK) £120k - £140k basic (DOE) + bonus (10-25%) and benefits (pension, life insurance, healthcare, holidays, & more). “Money makes the world go round,” they say. Maybe it did back in the early 1900s when our client began to … focus solely on wealth management. But now? It’s data. This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a … debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power. And that’s where you come in. Where you fit in As one of three new leaders in the newly established Group Data More ❯

The Green Recruitment Company is working with an Environmental and Sustainability Business that supports and empower their customers journey to net zero. To join their Data-Technology team, we have an opportunity for a Data Engineer to help support the wider business (cross-functional) to meet their reporting and data requirements. About the role … The Data Engineer will be working with the latest innovative technologies, to design, build and maintain data solutions, constructing process to surface data both internally for reporting purposes and externally through the customer portal. The Data Engineer will be responsible for developing scalable data pipelines to integrate diverse data sources whilst ensuring data quality under the framework of a new Data Platform for real time application integration and reporting, and will work closely with business stakeholders to support data-driven decision making by delivering clean, well-structured datasets that can be utlised for reporting purpose in a performent, secure way. Key More ❯

experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer More ❯

Social network you want to login/join with: Location: Remote (UK-based) with occasional client site visits This position sits within the Solution Consulting function of a data-focused consultancy, supporting the delivery of data projects across a range of strategic clients. The role involves working both remotely and on-site to lead analysis efforts … and engage with business stakeholders to define and document data-driven requirements. Key Responsibilities: - Lead business and data analysis activities across multiple clients. - Gather, analyse, and document requirements for data pipelines, system migrations, and reporting needs. - Work closely with both client stakeholders and internal engineering teams to ensure accurate and actionable specifications. - Facilitate workshops … and discovery sessions to identify business and data requirements. - Support the development and curation of business glossaries and manage associated processes. - Maintain up-to-date specifications and advocate for solutions that drive client value. Key Experience & Skills: - 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem More ❯

Social network you want to login/join with: Data & AI Solutions Deployment Architect, dartford col-narrow-left Client: Bytes Software Services Location: dartford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 8 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Bytes is a top provider of premium IT solutions … foster a culture of innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: The Data & AI Solutions Deployment Architect will be instrumental in architecting and deploying Azure Data & AI Solutions. A solid, technical, ‘hands-on’ (not just the theory) grasp of Azure … Fabric is essential as we navigate clients through all of the infrastructure, coding, and product development lifecycle challenges around successful Data and AI implementation and deployment. This customer-centric position involves delivering projects, conducting workshops and physically working on client’s environments via Python, and C#. This role would suit an experienced Data platform engineer or More ❯

Social network you want to login/join with: A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base 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 need the following: 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 ❯

want to login/join with: South Manchester – Remote (On-site just once a month MAX) Up to £60,000 + Bonus + Benefits Are you a skilled Data Engineer ready to shape the future of data in a rapidly scaling tech business? This is a great opportunity to join a leading SaaS provider generating close … platform supports millions of users across sectors including the NHS, logistics, public safety, and retail. With their tech function now fully in-house, they’re investing heavily in data—and you’ll be at the forefront of that transformation. You’ll work directly with the CTO and Head of Engineering, helping define the company’s data architecture, pipelines, and reporting solutions from the ground up. What You’ll Be Doing: Designing, building, and optimising scalable data pipelines, data warehouse structures, and integration processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem More ❯

Social network you want to login/join with: ZONTAL is revolutionizing data management and digital transformation for the life sciences industry. Our cutting-edge platform enables seamless data integration, standardization, and accessibility—empowering scientists and organizations to drive innovation, enhance compliance, and accelerate breakthroughs in healthcare and biotechnology. ZONTAL has offices in the US, Europe … the job. Your Responsibilities: Be a subject matter expert in the ZONTAL Platform and its customer use-cases. Analyze business requirements for customer-facing projects, with emphasis on data flows and data formats as they feed into & out of the ZONTAL Platform. Create functional and design specifications for the proposed solution, focusing on overall Platform architecture … sciences data acquisition software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI … data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience More ❯

permit required: Yes col-narrow-right Job Views: 7 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Actian is transforming how enterprises discover, understand, and govern their data assets through our innovative data catalog and intelligence platform. Our customers rely on us to provide a seamless and scalable experience, and we’re looking for a … strategic thinking, and strong project management skills to ensure customers see long-term success with Actian solutions. Responsibilities: Technical Implementation & Onboarding Lead technical onboarding process for new Zeenea Data Intelligence Platform customers Develop and execute customer implementation plans ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments … reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting, professional services, or customer success in a SaaS, data management, or cloud-based environment Excellent ability to translate customer needs into actionable technical requirements Experience managing multiple concurrent implementation projects with enterprise customers Knowledge of APIs & software development More ❯