Analytics engineer jobs in Reino Unido - Page 5

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Internal Grade E Job Description Experian Marketing Services are looking for a new Software Engineer to work with our engineering and product teams developing applications that power our ad delivery, analytics, and optimization systems. This position is ideal for someone who is passionate about building scalable, efficient, and systems. This is a hybrid, London-based role reporting to the Director of Software Engineering for Experian Marketing Services. What will you do? Design and implement low-latency, high-throughput applications to support our real-time infrastructure Conduct code reviews, architectural discussions, and contribute to team best practices Work with teams to define system specifications and requirements Improve existing systems for scalability, performance, and reliability Mentor junior engineers Collaborate with the DevOps team for seamless deployment and orchestration of services Troubleshoot and resolve system-related issues promptly Maintain documentation for system design, algorithms, and APIs Qualifications Experience in back-end development and knowledge of AdTech environments Proficiency in Golang or Rust. Experience in building distributed, low-latency, and high-throughput systems Experience with data structures, algorithms, and software design Familiarity with cloud computing platforms (AWS, GCP, or Azure) Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, or similar Experience with databases (SQL, NoSQL) and caching solutions Experience with version control systems like Git Familiarity with containerization and orchestration tools like Docker and Kubernetes Knowledge of CI/CD pipelines and automated testing frameworks Additional Information Benefits package includes: Great compensation package and discretionary bonus plan Core benefits include pension, bupa healthcare, sharesave scheme and more 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here TPBN1_UKTJ

The Company This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges. Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network. The Role As a Data Engineer, you'll be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You'll work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery. Key Responsibilities Data Engineering & Infrastructure • Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets. • Develop and maintain data APIs and services to support analytics, software features, and reporting tools. • Build data models and storage solutions that balance performance, cost, and scalability. • Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS). Collaborative Delivery • Work with domain consultants and delivery leads to understand client needs and define data solutions. • Participate in agile delivery practices, including sprint planning, reviews, and retrospectives. • Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting. Best Practices & Growth • Write clean, well-documented, and tested code following engineering standards. • Participate in design reviews, code reviews, and collaborative development sessions. • Stay up-to-date with new tools and trends in the data engineering space. • Contribute to internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks. • Working with structured and unstructured data at scale. • Backend development in Python (or similar), and familiarity with data APIs. • Cloud data platforms (e.g., AWS Redshift, Azure Synapse). • SQL and database design for analytics, reporting, and product use. • Agile collaboration with cross-functional teams. You don’t need experience in rail — just curiosity and a willingness to learn the domain

Your new company Working for a renowned financial services organisation Your new role We're looking for a Senior Data Engineer to design and deliver scalable on prem, high‑quality data solutions for low/ high-level data platforms that power analytical and business insights. This is a hands‑on role suited to someone with strong data engineering and big data expertise, ideally gained within financial services. Joining leading commodities, metals, trading, and exchange group, you will support a strategic metals initiative focused on reducing on‑prem platform costs and modernising legacy ETL processes. You'll help design and build a new on‑prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing to a robust, scalable, and resilient enterprise data ecosystem. What you'll need to succeed Vast Data Engineering expertise with Big Data technologies. Experience designing and building on‑prem data platforms, from high‑level architecture to detailed technical design. Hands‑on experience configuring multi‑node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such as MongoDB. Proven delivery of streaming pipelines and real‑time data processing solutions. Improved job efficiency and reduced runtimes through Apache Spark optimisation and development. Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines. Delivered streaming pipelines and real‑time data processing solutions. Experience replacing legacy ETL tools (e.g., Informatica) with modern data engineering pipelines and platform builds. Proven background working within financial services environments. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

We’re supporting an FCA-regulated organisation with the hire of an Analytics Engineer to strengthen its modern data and analytics capability. This is a hands-on role focused on building trusted, reusable data assets that support reporting, product insight and decision-making across the organisation. What you’ll be doing: • Designing and maintaining clean, scalable data models (e.g. star/snowflake schemas) and defining consistent business metrics, • Building and improving ELT pipelines in Databricks using SQL and Python/PySpark, with a focus on reliability and performance, • Feeding curated datasets into Power BI (including modelling and DAX where required) to support trusted reporting, • Working closely with stakeholders to gather requirements, translate them into data logic, and improve how analytics is consumed, • Contributing to good practice around documentation, data quality checks, lineage/metadata and version control, helping raise standards across the analytics function What we’re looking for: • Hands-on experience in Databricks plus strong SQL and Python/PySpark, • Evidence of owning end-to-end analytics delivery, • Comfortable working with business and product stakeholders, challenging requirements when needed and translating them into clear data logic., • Strong data modelling skills and confidence defining/standardising metrics, • Good Power BI experience (data modelling; DAX beneficial) Location / working pattern Hybrid: typically 2–3 days per week onsite, split between London and Ipswich

Data Architect 12 months Hybrid - Croydon x1 day onsite x4 remote £(Apply online only) per day inside IR35 - Umbrella only Active SC clearance required Key skills: Proven experience as a Data Architect or Senior Data Engineer / Data Modeller. Strong expertise in data modelling (conceptual, logical, and physical). Experience designing data warehouses and data lake architectures. Strong SQL skills and understanding of relational and NoSQL databases. Experience with cloud data platforms (AWS, Azure, and/or GCP). Knowledge of data integration, ETL/ELT, and streaming architectures. Solid understanding of data governance, metadata, and master data concepts. Strong communication skills with both technical and non-technical stakeholdersNice to have: Experience with modern analytics and BI platforms. Knowledge of big data technologies (e.g. Spark, Hadoop). Experience with real-time or event-driven data architectures. Familiarity with data cataloguing and lineage tools. Experience in regulated or data-sensitive environments. Architecture or data certifications (e.g. TOGAF, cloud data certifications)

Data Engineer, Remote Modern Cloud Data Stack £45,000 DOE No sponsorship, post-grad visa not available A high-visibility opportunity with a values-led organisation modernising its data platform and refreshing its data strategy. You'll be trusted early, work directly with stakeholders across the business, and build the foundations that power better insight, smarter decisions, and real-world impact. This suits someone with 2+ years' experience who wants to step up, take ownership, and grow quickly in a supportive environment. Communication is central here, you'll succeed by translating business questions into robust, trusted data assets, and by bringing people with you on the journey. What you'll do • Help shape and deliver a refreshed data strategy and modern intelligence platform • Build reliable, scalable ELT/ETL pipelines into a cloud data warehouse (Snowflake, Databricks, or similar) • Develop and optimise core data models and transformations (dimensional, analytics-ready, built to last) • Create trusted data products that enable self-service analytics across the organisation • Improve data quality, monitoring, performance, and cost efficiency • Partner with analysts, BI, and non technical stakeholders to turn questions into production-grade data assets • Contribute to standards, best practice, and reusable engineering frameworks • Support responsible AI tooling, including programmatic LLM workflows where relevant What you'll bring • 2+ years' experience in data engineering within a modern cloud stack • Strong SQL, plus a solid data modelling foundation • Python preferred (or similar) for pipeline development and automation • Cloud exposure (AWS, Azure, or GCP) • Familiarity with orchestration and analytics engineering tools (dbt, Airflow, or similar) • Strong habits around governance, security, documentation, Git, and CI/CD What will make you stand out in this business • Clear, confident communication, you can explain technical choices in plain English • Strong stakeholder mindset, you ask the right questions and align on outcomes early • Ownership, curiosity, and a bias for building things properly Excited? Apply now

Data Engineer – AWS – SC Cleared SR2 Consulting have an exciting new role with a government department looking to start ASAP. You’ll be part of a new data team that’s being established to deliver a secure, scalable, cloud native data platform. You will work across an AWS environment, with a strong emphasis on AWS-native tooling including Glue, S3, Step Functions, Lambda, EventBridge and other modern orchestration patterns. This role suits an engineer confident in building robust, governed, production-grade pipelines within a government-regulated environment. Essential Skills & Experience Strong proficiency in AWS cloud-native data engineering, including: Glue, S3, Step Functions, EventBridge, Lambda, SNS/SQS, IAM. Hands-on experience designing and building data pipelines across AWS and/or Azure (Azure Data Factory, Databricks, Spark). Strong SQL development skills and experience working with diverse datasets. Experience implementing data quality, monitoring, and validation frameworks. Proven ability to build scalable, secure, well-documented pipelines in cloud environments. Valid SC clearance Desirable Skills AWS certifications (advantageous). Experience with real-time event-driven patterns (e.g., EventBridge, Kinesis). Familiarity with modern DevOps/CI-CD tooling and Infrastructure as Code (Terraform, CDK). Experience supporting visualisation and BI environments. Understanding of data governance, security baselines, and working within regulated environments.What This Role Offers Opportunity to shape a new data capability from the ground up. Work in a modern, multi-cloud environment using cutting-edge AWS-native tooling. High-impact work enabling better intelligence, reporting, and operational decision-making. Collaboration with a multidisciplinary team across engineering, analytics, governance and delivery

The Role The Data Practice is the team made up of experts dedicated to Data centric offers (Data platform, Data Analytics, IoT, Big Data, Data compliance) who support our customers in their IT and Data transformations. We help customers choose the right tools and services, build highly scalable secure environments, and help them manage the maintenance of those environments. We come up with creative solutions to difficult problems and every engineer gets to have a large direct impact on each of those customers. Key Responsibilities • Supporting Informix Database platforms. This will include, Troubleshooting, Monitoring, Optimization/tuning of system performance, Security, Reporting, • On-Call rota for 24/7 fourth-line support, • Automation of all support activities including backups, patching, and script deployments Skills and Attributes • Informix database (11.70 and newer), • Unix and Linux systems administration, • Programming Languages such as:Python, Perl, C, Java Desirable (but not essential) • Exposure to storage area networks, particularly EMC, IBM, Sun and HP, • Public Cloud Infrastructure deployments (Azure, AWS), • A working knowledge of Openbet Benefits At Claranet, we go the extra mile with our people—because we believe in building a workplace where everyone feels valued and supported. Our flexible benefits package includes: • Pension Scheme: Employer-matched contributions to help you plan for the future., • Comprehensive Healthcare Coverage: Access to private medical care for your peace of mind and wellbeing., • Discounted Gym Memberships: Prioritise your fitness with exclusive rates at leading gyms., • Personalised Wellbeing Support: App-based resources and services available 24/7, • Enhanced Annual Leave: 25 days of holiday, increasing to 27 days with service, plus bank holidays and a day off for your birthday., • Continuous Learning & Development:Ongoing opportunities to grow your skills and advance your career. What makes us unique is Team Claranet, our internal community that supports causes close to our employees’ hearts. We offer paid charity leave, support local charities across our offices, and host annual fundraising events, all backed by a dedicated committee. We’re proud founding members of TC4RE (Technology Community for Racial Equality) working collectively to build a more diverse and inclusive tech industry. About Claranet Founded at the beginning of the dot com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from an Internet Service Provider (ISP) in the UK to being one of the leading business modernisation experts, who deliver solutions across 11+ countries. Equal Opportunities Statement Diversity, equity and inclusion are at the heart of what we value as an organisation. Claranet is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support any reasonable adjustments that are needed within the recruitment process. Ready to take the next step in your career with Claranet? Click ‘apply’ – we can’t wait to meet you

Lead Python Engineer - Greenfield Equity Data Platform - Director Location: London (Hybrid) Type: Permanent Overview A leading global Investment Bank is embarking on a major greenfield build-out of an Equity Data Platform as part of a multi-year strategic data transformation programme for the Equities business. This is a rare opportunity to take a foundational engineering role, shaping the platform architecture, technology choices, and long-term roadmap from day one. You will be at the centre of a high-impact initiative to design and deliver a scalable, cloud‑ready data platform supporting Equities trading, research, analytics, and risk. As the platform grows, you will also have the opportunity to build and lead a team from the ground up, helping to define engineering culture, processes, and best practices. The Role This is a hands-on senior engineering position focused on delivering a modern Python-based data ecosystem for the bank's Equity business lines. You'll collaborate with trading, quant, and data strategy teams to build high-performance data pipelines, ingestion frameworks, transformation layers, APIs, and services. Key Responsibilities Build and architect a greenfield Equity Data Platform supporting trading, analytics, and regulatory workflows. Design and implement Python-based data services, frameworks, and pipelines across structured and unstructured datasets. Establish modern engineering practices across testing, automation, CI/CD, observability, and deployment. Define data models, ingestion strategies, governance patterns, and storage architectures. Drive adoption of scalable cloud-ready solutions aligned with the bank's overall data strategy. Collaborate with quants, trading desks, data engineers, and platform teams to deliver performant, reliable systems. Take a leadership role in growing and mentoring a new engineering team as the platform matures. Influence long-term architectural decisions and technology choices across the data estate.Key Skills & Experience Essential Strong experience building large-scale Python data platforms, pipelines, or backend services. Proven background in high-performance, mission-critical environments (ideally Equities, trading, or financial data). Experience with modern data engineering tooling (streaming, orchestration, storage, APIs). Strong understanding of data modelling, ETL/ELT pipelines, and data lifecycle management. Knowledge of distributed systems, microservices, or cloud-native architectures. Experience implementing testing, CI/CD, and automation in modern engineering setups. Excellent communication skills with the ability to work closely with Front Office and quant stakeholders.Desirable Experience in Equities or Equity Derivatives data sources, analytics, or trading workflows. Exposure to cloud platforms (Azure, AWS, or GCP). Experience hiring, mentoring, or leading small engineering teams. Familiarity with Apache Spark, Kafka, Delta Lake, or similar data technologies.Apply Now to avoid disappointment! To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Principal Data Analyst - Azure / Databricks / SQL - Remote First Are you the kind of Data Analyst who can take a messy, noisy, slightly chaotic data landscape and wrap a proper layer of structure around it? Maybe even enjoy it a bit? Right now, the business has huge amounts of data coming in from multiple parts of the organisation, but everything is pretty siloed. Different teams. Different feeds. Different standards. Nothing centralised yet. The goal is to build a unified data platform on Azure with Databricks at its core. Something that actually behaves like a proper, governed, scalable, AI-ready environment. You will work closely with the Architect to translate the vision into a coherent set of analyses and insights that drive delivery. This will involve working with both legacy systems and newer technology as the platform modernises. Reporting directly into the Architect, this will be the most senior Analyst amongst a team of data engineers, data scientists, and data analysts sitting under you. Primarily remote, the office is based in London, and you’ll need to be able to get there on occasion (once a month or so). You must be UK based for this position What we are looking for: • Solid Principal / Lead Data Analyst or Data Engineer background, • Deep experience with SQL, Databricks, and all the plumbing that makes a modern data stack actually work, • Strong legacy tech experience – SPSS, SAS, Tableau etc (this is all tech that they are looking to consolidate), • Strong communicator who can influence decisions without steamrolling people Advantageous skills include experience with: • Come from a background that is Financial, Economic, or extremely numbers driven, • If you have played with AI or worked in that sort of environment The bigger picture: You will help bring together multiple streams of operational, product, and customer data that currently sit across separate environments. The mission is to unify everything into a single, governed platform that unlocks real insight and sets the foundation for advanced analytics and AI driven intelligence. If you want a role where you can genuinely shape a data ecosystem and build something future ready rather than just maintain someone else’s blueprint, this is worth a conversation

The Mission At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That’s why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win-win for birds, farmers, the environment, and people everywhere. Today, we’re watching 60 million chickens a year. We believe we are setting the standard for animal welfare and smart farming - and we’re just getting started. The People We’re a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day: Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion. Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what’s possible in poultry farming. Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other’s strengths to revolutionise farming. ️ Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can’t live without. This is an exciting moment of growth for FLOX - and we’re looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives. The role We are currently seeking a Senior Data & Platform Engineer to work directly under our Engineering Director in our office in London. We’re a Series A ready start-up with plenty of room for progression and making direct impact for our customers. This high-impact role demands "best-in-class" data engineering and MLOps skills to build, maintain, and deploy the production-grade commercial applications that power our AI and analytics platform. The ideal candidate will have experience navigating complex data challenges in analytics-heavy industries like AgTech or HealthTech and is motivated to revolutionise the poultry sector through data science and robust platform architecture. Our product vision is to empower our customers with autonomous intelligence at speed and scale. This role is a key part of achieving this vision to convert data into actionable intelligence. Key Responsibilities: Engineering Excellence & Transformational Value: Drive engineering excellence by architecting robust, scalable data platforms that deliver measurable, transformational value to product outcomes in the AgTech space. Production-Grade Application Deployment: Build, maintain, and deploy production-grade commercial applications and data services that are highly available, reliable, and performant. Best-in-Class Data Engineering: Design and optimise sophisticated batch and streaming data pipelines within the Snowflake or similar Data Cloud, ensuring data integrity, quality, and accessibility for analytics and machine learning applications. MLOps Implementation & Application Engineering: Collaborate directly with machine learning engineers and production application engineers to integrate open source MLOps pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast. Advanced Data Modelling (Ontology & Knowledge Graphs): Lead the design and implementation of data ontologies and knowledge graphs using graph databases (e.g., Neo4j, Neptune) to model complex biological and operational data relationships for sophisticated AI insights. Data Platform Expertise & Optimisation: Lead our data engineering efforts on data platforms such as Snowflake, Data bricks or similar focusing on data modelling, and analytics workflows to deliver actionable intelligence to customers. Tech Stack Data • Data sources: PTZ Cameras, IoT sensors, customer derived data sets, • Terabyte scale data on edge and cloud, • On-prem, cloud and edge compute DevOps / MLOps / Software Development • Python and FastAPI, • Kafka, MySQL, MongoDB, PostgreSQL, • Docker; Kubernetes networking and service mesh; RKE2, • RTMP, WebRTC, HLS, MPEG-DASH, • Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters, • Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD, • AWS (primary), with GCP/Azure exposure, • DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouse We would love to meet you if you have all or some of these requirements: • 5+ years of experience in data platform engineering roles within analytics-heavy, fast-paced tech/product companies., • Experience in AgTech, Healthtech, or Biotechnology is highly preferred, demonstrating a clear understanding of applied data challenges in complex domains., • Proven track record of working effectively within integrated product teams composed of ML Engineers, Data Scientists, Platform Engineers, and Application Engineers., • Deep expertise in Snowflake or similar architecture and management., • Hands-on experience in knowledge modelling, ontology design (using RDF, OWL, or similar), and managing graph databases (e.g., Neo4j)., • Strong experience with MLOps frameworks like MLflow, DVC, Feast and data orchestration tools is required., • A willingness to go above and beyond, bringing a highly proactive, product-focused mindset aimed at delivering engineering excellence and tangible business transformation., • Prior experience in a start-up or scale-up environment is essential. Ability to navigate ambiguous and uncertain scenarios to make key decisions., • Excellent cross-functional communication skills - comfortable working across technical and operational teams., • Able to travel to our E8 London HQ approximately twice per week., • [Desirable] Experience with multimodal data engineering and building customer facing data products. What we can offer you: • Up to £90k p.a. depending on experience and location, • Hybrid working, in the office twice a week with flexibility, • Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like, • Lunch and snacks provided, • Exposure to state-of-the-art technologies, • A talented and international work environment, • Travel within the UK & potentially into the US and LATAM, • A chance to work with well-respected experts, including AI and robotics Hiring timeline We’re accepting applications now but interviews will start in January 2026. If you apply in December, please don’t worry if you don’t hear from us immediately – we’ll be in touch once we begin the interview process in the new year. We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

Telford (2 days per week on-site) Up to £530 per day 6-month contract Active SC Clearance required Were looking for an experienced Data Engineer to join a newly formed scrum team working on a large-scale, data-driven platform within a highly regulated public sector environment. This role focuses on building and enhancing robust data acquisition, ingestion, and risking services that underpin critical analytics and decision-making capabilities. The Role Youll play a key part in designing and delivering scalable data pipelines and integration services that consolidate multiple data sources into a unified, high-performance platform. The work supports complex analytical and BI workloads, leveraging modern data engineering, cloud, and DevOps practices. Key Responsibilities Design, build, and deploy data integration and transformation solutions Develop scalable data pipelines and services for analytics and BI platforms Work closely with product owners, analysts, and engineers to define requirements and deliver solutions Contribute to Agile/Scrum ceremonies and continuous improvement Implement DevOps practices including CI/CD, automated testing, and deployment Ensure high standards of data quality, governance, and security Troubleshoot complex data and performance issues Mentor junior team members where required Key Skills & Experience Strong ETL experience with Pentaho and Talend Data virtualisation experience using Denodo SAS for data analytics and reporting Strong SQL and data modelling skills Hands-on AWS experience (building, integrating, or supporting data solutions in the cloud) Experience with DevOps tooling (e.g. Jenkins, Git, Docker, Kubernetes) Solid understanding of Agile and Scrum ways of working Strong communication and problem-solving skills Nice to Have Experience leading data initiatives or technical workstreams Agile, DevOps, or data platform certifications TPBN1_UKTJ

Role: - Visualisation Engineer Location: Harmondsworth, England (Waterside Office) , UK (Hybrid) (3 days onsite in a week is Mandatory) Duration: 6 Months Contract with possibility of renewal Note:- Candidates needs to travel to Europe once in a month (European country) Description:- The Visualisation Specialist will design and build enterprise-grade visualisations that deliver actionable insights at speed for British Airways initially, whilst ensuring frameworks can scale across all OpCos. This role demands consultancy-level frontend engineering expertise and the ability to balance velocity with strong engineering standards and discipline. Key Responsibilities :- Rapid prototyping: Design, develop and deliver user-friendly, visually compelling and robust dashboards using Tableau to meet urgent business needs Robust engineering: Architect and build production-grade, reusable dashboard solutions using modern frontend technologies, integrating with enterprise APIs and data sources Data transformation: Execute complex data wrangling, cleaning, and transformation tasks, primarily with SQL, to prepare datasets for dashboard usage Data processing: Use SQL and Python for data processing and analytics workflows Scalability & performance: Ensure solutions are modular, performant, and scalable across OpCos, with CI/CD, automated testing, and cloud-native deployment Operational integration: Embed visualisations into BA workflows, enabling real-time decisionmaking and measurable impact Communication: Work closely with stakeholders to gather and translate requirements into tech specifications and validate results. Collaboration: Communicate with Data Engineers and Analysts to ensure cohesive solutions deliver cohesive, high-quality solutions Multi-OpCo deployment: Design for interoperability and reusability across BA, Aer Lingus, Iberia, Vueling, etc Stakeholder engagement: Translate business requirements into impactful visual experiences; drive adoption and continuous improvement Required Skills & Experience:- 10+ years in dashboard creation and development, with strong command of Tableau, operating in AI/data environments Extensive experience in advanced SQL for data manipulation and transformation in complex datasets Professional background as a BI Developer, Analytics Engineer, Data Analyst, or a similar role involving dashboard development Strong communication skills and ability to work collaboratively with cross-functional teams Proven ability to integrate quickly into new teams and deliver immediate value (Preferred) Experience with Python for data processing or automation (Preferred) Strong knowledge of API integration. (Preferred) Hands-on experience with modern frontend frameworks (React, Next.js, Typescript, etc) (Preferred) Hands-on experience with cloud platforms (AWS preferred); familiarity with scalable deployment and integration Familiarity with airline or logistics data domains is a plus Initial co-location with BA teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment. TPBN1_UKTJ

Data Engineer - 3 days per week in Stratford - £600-£650 per day inside ir35 - 6 months+ Please note: Due to the nature of the project, successful applicants will be required to be SC cleared prior to appointment. Responsibilities Design and implement data flows to connect operational systems with analytics and BI systems to benefit programme operation. Identify strategies and services to support programme needs. Support in the design and implementation of data streaming services, including the development of new data models and ETL processes. Contribution to the re-platforming of data systems into public cloud and the refresh of tooling applications. Helping to define and support data privacy controls and their implementation. Required experience: Power BI Power Automate SharePoint with Power Automate workflows Previous government experience Agile working (scrum & jira) Working with stakeholders (senior & users)Data Engineer - 3 days per week in Stratford - £600-£650 per day inside ir35 - 6 months+ Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003

Senior iOS Software Engineer 11 Months initial contract Stratford - 4 days onsite / 1 remote £503 per day (Inside IR35) Overview Join the company's Pro Mobile Team working on the Pro Telematics Drive App - a unified mobile solution for commercial fleet management across North America and Europe. The app supports Fleet Managers and Drivers with tools that improve productivity and fleet uptime. Responsibilities - Build and maintain customer-facing iOS features - Collaborate in cross-functional agile teams - Implement polished UIs using SwiftUI and UIKit - Integrate APIs with strong error handling and performance - Contribute to a large evolving codebase - Participate in code reviews and continuous improvement Essential Skills & Experience - Strong Swift experience in production apps - SwiftUI and UIKit - Modern iOS architecture patterns - Unit testing and snapshot testing mindset Tech Stack - Swift - SwiftUI, UIKit, Combine, async/await - XCTest / Swift Testing, Snapshot & UI Tests - Tuist, Swift Package Manager - Bitrise CI/CD - Observability and analytics tooling - Backend-for-Frontend API layer Additional Attributes - Senior-level delivery experience - Collaborative and inclusive - Comfortable with ambiguity - Flexible across complex projects - Willing to mentor others Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change