Trabajos sql python en Manchester - Page 2Crear alertas

Senior Data Scientist Location: Manchester (Hybrid – 2 days onsite) Salary: £85,000 + 10% bonus The Opportunity This is an opportunity to join a high-performing data function within a large-scale, product-led organisation, building intelligent systems that directly influence commercial decision-making at scale. You’ll play a key role in developing a next-generation decisioning platform used by operational and commercial teams to optimise outcomes in real time. This is not a research-only role — your work will be deployed, used, and measured in live environments. If you’re motivated by solving complex, high-impact problems and want to see your models drive real-world results, this is the kind of environment where your work will genuinely matter. The Role As a Senior Data Scientist, you will: • Design, build, and deploy machine learning models that underpin core decision-making systems, • Develop pricing, segmentation, and behavioural models to drive commercial optimisation, • Work closely with product, engineering, and business stakeholders to ensure solutions are practical, scalable, and impactful, • Contribute to the development of a production-grade data science capability, including model deployment, monitoring, and continuous improvement, • Translate complex modelling outputs into clear, actionable insights for non-technical stakeholders What You’ll Be Working On • Decisioning and recommendation systems used in live operational environments, • Pricing and optimisation models balancing multiple commercial factors, • Customer and behavioural segmentation models, • Experimentation and measurement frameworks to validate impact, • Strong background in data science, machine learning, or statistical modelling, • Proven experience delivering models into production environments, • Commercial awareness — you understand how data drives business decisions, not just technical outputs, • Experience working cross-functionally with product, engineering, and business teams, • Ability to operate independently and take ownership of complex problems, • Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant), • SQL and large-scale data processing, • Cloud-based environments (e.g. AWS, Azure, or similar), • Work on high-impact systems used daily in real-world decision-making, • Join a growing data function with strong investment and leadership backing, • Opportunity to shape how data science is applied across a complex organisation, • Hybrid working: 2 days per week onsite in Manchester, • Competitive salary with performance-related bonus, • Opportunity to work on complex, meaningful problems at scale

You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects.

The ideal candidate has strong experience in Python and SQL, as well as hands-on experience with Apache Spark. In this hybrid position, you will work on real-time and batch ETL pipelines, ensuring data accuracy and performance while collaborating with engineering teams. Join a forward-thinking compa

You'll be responsible for ingesting and transforming data in Snowflake using DBT, and supporting the building of the data warehouse. Candidates should have at least 3 years of experience in SQL, Python, DBT, and cloud technologies such as Snowflake.

A leading data consultancy in the UK is seeking a Data Engineer to join their team. This role involves building robust data solutions primarily on Azure and requires proficiency in Python and SQL.

A leading energy solutions provider in Manchester is seeking a Full-Time Technical Role to develop real-time forecasts of electricity prices.You'll work in a fast-growing scale-up, solving complex energy problems with a strong emphasis on programming in Python and SQL, while being part of a high-per

Verify solutions using Python with standard data science libraries and statistical methods. Expert Python programming for data science (pandas, numpy, scipy, scikit‑learn, statsmodels). Design original computational data science problems that simulate real-world analytical workflows across industr

A leading technology company in Manchester is seeking a Data Engineer to enhance data ingestion and processing pipelines.The ideal candidate will work collaboratively with cross-functional teams, leveraging strong SQL and Python skills.Tasks include developing scalable data solutions and ensuring ef

A leading consulting firm in Manchester is seeking a Data Engineer for a long term contract position.The role involves orchestrating and scheduling data tasks, managing data platforms, and ensuring data quality.Candidates must have strong experience with SQL, Python, and cloud platforms, particularl

A well-established data insights company in Greater Manchester is seeking a Data Engineer to join their specialized team.The role involves transforming raw data into reliable datasets using SQL and Python, with a focus on high data quality and collaboration with cross-functional teams.Candidates mus

An online marketplace in Manchester is looking for a Data Scientist to develop data models that drive growth and enhance customer experience.The applicant should have over 2 years of experience in a related field, strong Python and SQL skills, and the ability to communicate insights effectively.The

Required qualifications include proven experience in production systems, expertise in Python, SQL, and advanced modeling techniques.

You'll focus on translating business objectives into modeling strategies, deploying models using Python and SQL, and ensuring robust, production-ready solutions through collaboration with various teams.

You should have proficiency in at least one programming language/framework (such as JavaScript, TypeScript, Python, C, C#, C++, HTML/CSS, React, Go, Java, Kotlin, SQL, Swift, etc. We require candidates to be proficient in either Python and/or JavaScript.

Training program for aspiring data analysts, including CompTIA Data+, SQL, Python, and Tableau courses, with recruitment support and a money-back guarantee.

Data Analyst needed to generate insights from raw data in the Financial Services sector, using SQL and potentially Python, working in a hybrid model.

Data Analyst Placement Programme - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Their Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst. Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst • £30,000 * Data Analyst • £50,000 * Business Analyst • £60,000 * Data Scientist • £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: • Microsoft Excel (to expert level) * SQL - Extracting and querying data from databases * Python 3 - One of the most widely used languages in data analysis * Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: • Data mining * Data manipulation * Data visualisation * Reporting and interpretation Study time: ~30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: ~15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, their recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: • Full CV review tailored to your new qualifications * Job application support * Mock interviews * Ongoing career guidance * Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, they'll help you take that first step. Enquire now and one of their experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Digital Data Senior Manager, Data Governance, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid Digital Data Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis. The expectation is to be in the office circa two days per week and the rest from home. Please read in full before applying We need someone who is a seasoned Data Governance specialist and someone who has exposure to Data Architecture and Engineering not someone who has done a bit of data. This requires someone who has operated at Senior Manager level, someone who has the gravitas to face-off to senior stakeholders, shape work, originate opportunities and help take clients on a proper data journey. You will be joining a rapidly maturing Digital Consulting team that works across the United Kingdom, where the work is genuinely varied, fast-paced and focused on helping clients use digital technology to create real business outcomes. You will report into a Partner and will play a major part in leading, growing, mentoring and shaping the team around you. This is ideal for someone who is commercially minded, confident, curious, comfortable with ambiguity and genuinely enjoys solving complex business and data problems in the world of Data Governancenot just producing technical artefacts for the sake of it. You must enjoy working with people and influencing outcomes, not hiding behind documents or code. Read on for more details Skills and experience required: Data Governance first mindset with solid experience across multiple sectors A strong professional network across the United Kingdom and a demonstrable track record of originating, shaping and converting consulting opportunities for Data, Analytics and Artificial Intelligence projects Strong consulting experience that includes solution development, proposal creation, commercial negotiation and building trusted adviser relationships with senior-level clients Proven ability to work with technical teams and data projects, with excellent coaching and mentoring skills A collaborative, pragmatic and client-centred mindset, with the ability to translate business problems into compelling data-led solutions A natural problem solver with intellectual curiosity and an agile, forward-thinking outlook A strong understanding of the real challenges businesses face today, and how digital and data technologies can genuinely enable change and transformation Significant experience in data architecture and data engineering, including building data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence in both technical and non-technical audiences This is a great opportunity and salary is dependent upon experience. Apply now for more details TPBN1_UKTJ

My client are a data and analytics company who have delivered data driven insights to large global brands for over a decade. They need a contract Data Products Engineer to support the development and evolution of behavioural data products. 6 months Outside IR35 £400 per day 2 days a week in Manchester The role You work within the Data Products team. You turn raw signals from capture technologies into well defined, high quality datasets. You use SQL, Python, and internal tooling, including AI assisted tools. You define schemas, apply business logic, enforce quality checks, and deliver client ready data feeds. Key responsibilities • Design and evolve data product schemas and fields • Turn product requirements into structured datasets • Build and maintain data feeds using internal tools, SQL, and Python • Monitor and improve data quality using checks and diagnostics • Investigate issues across large datasets • Work with Product, Data Engineering, Apps, and ML teams • Maintain clear and up to date documentation • Follow internal policies on security, quality, and health and safety About you You enjoy working closely with data. You focus on representing real world digital behaviour in a clean and reliable way. You need • Strong SQL skills with large datasets • Experience with Python or another data focused language • High attention to detail • Strong focus on data quality and validation • Clear communication skills • Willingness to use AI to improve output and speed Nice to have • Experience with behavioural or event level data • Understanding of privacy and data governance • Exposure to AWS tools such as S3, EMR or Spark, Athena, Airflow or Azkaban

Data Engineer (Microsoft Fabric) Manchester / Birmingham / Nottingham (Hybrid - 2 days onsite) £50,000 Permanent - Full-time About the Opportunity SF Partners are partnering with a leading UK law firm to hire a Data Engineer with Microsoft Fabric experience to support a major data transformation programme. The business is moving away from SAP BW and building a modern data platform on Microsoft Fabric, and this role will be central to that journey. This is an opportunity to work hands-on with Fabric in a real enterprise environment - helping shape the platform, pipelines, and reporting layer from the ground up. The Role You'll play a key role in designing and delivering data solutions within Microsoft Fabric, working closely with both technical teams and business stakeholders. This role is ideal for someone who already has exposure to Fabric (or strong Azure experience with hands-on Fabric work) and wants to deepen their expertise in a growing, high-impact environment. Key Responsibilities Design and build data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse) Support the migration from SAP BW into a Fabric-based architecture Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute to the development of a gold-standard reporting layer (Power BI semantic models) Work with stakeholders across Finance, HR, and Commercial teams Ensure strong data governance, security, and compliance (GDPR) Document processes and support best practice across the data team What We're Looking For Experience working with Microsoft Fabric (essential) Strong SQL skills and experience working with large datasets Experience building data pipelines and working with lakehouse architectures Knowledge of tools such as Azure Data Factory and/or Fabric Data Pipelines Experience with Python or PySpark for data transformation Understanding of data modelling (dimensional modelling, medallion architecture) Strong communication skills and ability to work with non-technical stakeholders Desirable: Experience migrating from legacy systems (e.g. SAP BW) Exposure to SAP data (HANA, BW, SuccessFactors, etc.) Experience with Power BI and semantic models Why Apply? Work on a high-profile Microsoft Fabric implementation Play a key role in a large-scale data migration project Gain deeper expertise in one of the fastest-growing data platforms Join a collaborative and forward-thinking data team Hybrid working and strong benefits package Apply Now If you're a Data Engineer with Microsoft Fabric experience looking to take ownership of a major transformation project, we'd love to hear from you. Apply now or get in touch with SF Partners for more information

Senior GCP Data Engineer Lancashire – Permanent – Hybrid Competitive Salary VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team. Key Responsibilities: • Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer. • Own the full data product lifecycle, from initial design through to decommissioning. • Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling. • Collaborate closely with product managers, architects, and engineers to solve complex technical and business challenges. • Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance. • Produce clear, well-documented solutions for both technical and non-technical audiences. • Support CI/CD, environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years’ experience as a Data Engineer with a strong focus on ETL / ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines, and multi-environment controls. • Excellent communication skills and the ability to lead by example within engineering teams. • Experience supporting mergers, integrations, or large-scale organisational change is highly desirable. Senior GCP Data Engineer London – Permanent – Hybrid Competitive Salary Apply today to speak with VIQU in confidence or contact Belle Hegarty at . Know someone exceptional for this position? Refer them and receive up to £1,000 if successful (terms apply). Follow us on LinkedIn @VIQU IT Recruitment for more exciting opportunities

Senior Data Engineer * Hybrid-working (Manchester + Home-based) * c£60,000 to £75,000 per year (DOE) * Plus an excellent company benefits package (including Private Healthcare, Bonuses, Professional Accreditations and Subscriptions, 25 days Annual Leave + Bank Holidays, etc.) The Opportunity: We are supporting a leading IT Consultancy operating at the forefront of digital services and transformation across the UK public sector are seeking an experienced Senior Data Engineer to play a key role in designing and delivering modern, scalable data platforms that support critical national services. Working within collaborative, multi-disciplinary teams, you will take ownership of end-to-end data engineering delivery across greenfield and transformation initiatives. You will influence technical direction, guide engineering best practice, and support the development of high-quality, robust data services that operate at enterprise scale. You will be consulting across modern cloud ecosystems and data technologies, with opportunities to deepen expertise in Python, SQL, cloud-native data tooling, orchestration platforms and streaming technologies across AWS, Azure and GCP. Skills and Experience: * Proven experience delivering production-grade data engineering solutions within complex environments * Strong Python skills for building, testing and operating scalable data pipelines * Experience working with at least one major cloud platform (AWS, Azure or GCP) * Strong SQL expertise and experience working with relational databases such as PostgreSQL or Microsoft SQL Server * Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar * Hands‑on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience * Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures * Experience of consulting across Agile delivery environments, implementing data quality, validation and monitoring frameworks Role and Responsibilities: * Lead the design, build and delivery of data platforms and services across the full engineering lifecycle * Own technical delivery of data pipelines, models and platform components, ensuring solutions are robust, scalable and maintainable * Design, develop and deploy ETL/ELT pipelines to ingest, transform and optimise large-scale datasets * Build and operate event‑driven architectures (Kafka) and orchestrate workflows (Airflow) * Apply strong data architecture principles across data lakes, warehouses and event-driven solutions * Develop and maintain streaming pipelines using technologies such as Kafka * Implement monitoring and observability solutions using tooling such as Prometheus and Grafana * Ensure data quality, validation and governance processes are built into engineering workflows * Act as a trusted technical advisor to clients and stakeholders (client-facing), translating business requirements into robust engineering solutions * Support delivery planning activities, including estimation, risk identification and dependency management * Mentor and support other engineers, contributing to a culture of continuous improvement and engineering excellence Applications: Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Their Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst. Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst • £30,000 * Data Analyst • £50,000 * Business Analyst • £60,000 * Data Scientist • £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: • Microsoft Excel (to expert level) * SQL - Extracting and querying data from databases * Python 3 - One of the most widely used languages in data analysis * Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: • Data mining * Data manipulation * Data visualisation * Reporting and interpretation Study time: ~30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: ~15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, their recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: • Full CV review tailored to your new qualifications * Job application support * Mock interviews * Ongoing career guidance * Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, they'll help you take that first step. Enquire now and one of their experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes TPBN1_UKTJ

Prestigious opportunity with a world leading Global Investment Management company for a Technical Lead for our Applications Engineering - Marketing Technology area. Key to the development and running of the European websites, onboarding and servicing of our professional investors, we are inviting you to join our success story, based in our Manchester office 3 days a week. As our Technical Lead, you will work with exciting and leading technologies within a microservice architecture including Angular, Node JS, HTML, JavaScript, Java, CSS and infrastructure on Amazon Web Services (AWS), CI/CD best practices and an incline towards test driven development (TDD). You will be responsible for:- Providing expert level technical direction for complex MarTech projects involving AEM, AEP, Adobe Target, and related integrations. Leading design, development, and implementation efforts across multiple platforms. Leading services and direction, providing technical expertise and completing complex development, design, implementation, architecture design specification, and maintenance activities. Ensuring the viability of IT deliverables. Identifying potential solutions and approving technical solutions proposed by team members. Working closely with marketing teams, consultants, and technology partners to deliver scalable solutions. Creating and maintaining detailed technical documentation, including architecture diagrams, integration guides, and operational procedures. Ensure documentation is clear, accurate, and accessible Identifying opportunities to enhance marketing technology capabilities through new tools, methodologies, and automation Conducting code reviews, testing, and validation to ensure functionality, security, and compliance with IT and Information Security policies If you possess a combination of the following skills, then LETS TALK! Full stack development background with Java, JavaScript, HTML, CSS, SQL and modern frameworks Familiarity with microservice architecture, API design, and integration patterns Knowledge of AWS services and cloud-based deployment models Strong understanding of CI/CD pipelines (GitHub), OOP/SOLID, Agile methodologies, and test-driven development Excellent documentation skills and ability to create clear technical standards Preferred expertise in Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), and Adobe Target Preferred experience in Python programming language Strong analytical, verbal, and written communication skills Ability to lead cross-functional teams and manage multiple priorities effectively In return, you will be rewarded with an enviable working environment in our luxurious City Centre office, an extensive benefits package encompassing a 25% bonus and partnership payment. 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. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. 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)

Please note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: * Junior Data Analyst - £30,000 * Data Analyst - £50,000 * Business Data Analyst - £67,500 * Data Analytics Analyst - £80,000 * Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. * Microsoft excel - to expert level. * Learn SQL - the programming language used for extracting data from more complex databases. * Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. * Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations

Digital Data Director / Consultant, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid Digital Data Director / Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis. The expectation is to be in the office circa two days per week and the rest from home. Please read in full before applying We need someone who is a seasoned Data Architecture and Engineering specialistnot someone who has done a bit of data. This requires someone who has operated at Director level in some consulting background, someone who has the gravitas to face-off to senior stakeholders, shape work, originate opportunities and help take clients on a proper data journey. You will be joining a rapidly maturing Digital Consulting team that works across the United Kingdom, where the work is genuinely varied, fast-paced and focused on helping clients use digital technology to create real business outcomes. You will report into a Partner and will play a major part in leading, growing, mentoring and shaping the team around you. This is ideal for someone who is commercially minded, confident, curious, comfortable with ambiguity and genuinely enjoys solving complex business and data problemsnot just producing technical artefacts for the sake of it. You must enjoy working with people and influencing outcomes, not hiding behind documents or code. Read on for more details Skills and experience required: A strong professional network across the United Kingdom and a demonstrable track record of originating, shaping and converting consulting opportunities for Data, Analytics and Artificial Intelligence projects Ideally Big 4 Experience, which would be preferable Strong consulting experience that includes solution development, proposal creation, commercial negotiation and building trusted adviser relationships with senior-level clients Proven ability to lead technical teams and data projects, with excellent coaching and mentoring skills A collaborative, pragmatic and client-centred mindset, with the ability to translate business problems into compelling data-led solutions A natural problem solver with intellectual curiosity and an agile, forward-thinking outlook A strong understanding of the real challenges businesses face today, and how digital and data technologies can genuinely enable change and transformation Significant experience in data architecture and data engineering, including building data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence in both technical and non-technical audiences This is a great opportunity and salary is dependent upon experience. Apply now for more details TPBN1_UKTJ

Senior Data Scientist My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift, and retraining Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working model Competitive pension Additional paid leave (birthday, charity, wellbeing, life events) Employee assistance programme & Virtual GP Modern collaborative office environment Interested? Please Click Apply Now! Senior Data Scientist

Job title: Enterprise Asset Management Support Consultant (Maximo) Location: Manchester office (Remote) Role type: Contract Duration: 6 months+ potential for extension or permanent Position Summary: Our client, a global Maximo – centric consulting organisation has identified a requirement for a support consultant to work with their UK team. The position entails provision of support to client representatives in respect of the Maximo product set with potential for involvement in Maximo project work and associated workstreams. Tasks: You will be joining our client’s team, directly engaging with customers for Level 2 & Level 3 support on their Maximo environment and integrations. You will report to the UK Service Lead, covering a portfolio of customers within the United Kingdom Direct (technical) communication with customers will be an important aspect of the work. Occasional support for other clients in other regions of the world might be required Where needed, you will assess and advise customers on their maturity growth in Asset Management and/or Enterprise Asset Management (EAM) systems You will be asked to participate in Workgroup initiatives where, based on your specific expertise or interest, you will be asked to contribute to a variety of topics e.g. internal system automation & optimization, upgrades of internal tooling and so on. Day-to-Day tasks: • You will work on service requests and incidents reported, ranging from mediocre to complex challenges, • You are expected to work both collaboratively as well as independently, • You will be responsible for securing quality of issue resolution and effectiveness of communication with the customer, • Participation in workgroups tasked to work on improvements and (technical) solutions UK Security Clearance will be required to obtain access to customer systems, which is part of the UK portfolio. The client will support this application process. Candidates should have been resident in the UK for the last 5 years to qualify as a baseline for this level of clearance. What You Bring to The Team: • Bachelor’s degree in Engineering, IT, Computer Science, or relevant training and /or experience, • 3 - 5-year experience with IBM Maximo in projects and/or support, preferably in multiple industries, • Experience implementing and integrating 3rd party applications, • Knowledge of programming languages (e.g. Java, Python, SQL) to translate requirements and configure systems, • Desirable: Appropriate Software accreditation in chosen discipline. E.g. IBM Maximo Certification or equivalent, • Desirable: Understand data replication technologies and the basic principles of software delivery technique, • Work independently executing honed organizational and time management skills with the ability to multi-task in a fast-moving environment with moving timescales and strict deadlines, • Excellent communicator with a high standard of written communication, verbal, and reasoning skills

This role involves developing workflows and ELT pipelines using Python and Databricks, implementing data security measures, and maintaining data models. The ideal candidate will have at least 3 years of experience in software engineering, expertise in AWS, Databricks, and SQL, and a passion for data

Use SQL frequently and understand NoSQL databases. Working understanding of NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks.

This role requires at least 3 years of experience in software engineering, proficiency in Python and AWS, and a strong understanding of data lifecycle.

The ideal candidate should have a degree in a relevant field, strong Python and SQL skills, and a solid understanding of investment banking.

Use SQL frequently and understand NoSQL databases. Develop workflows and ELT pipelines using Python and Databricks. Good working knowledge of AWS, Databricks, and Python.

Ideal candidates will possess strong skills in Python and SQL, knowledge of investment risk analysis, and a keen interest in financial markets.

Applicants should have over three years of experience, along with a strong background in Python, Databricks, and AWS.

A leading investment firm in Greater London is seeking a Senior Data Engineer proficient in Python and SQL.

Data Engineer (Python SQL Spark Azure Databricks) London to £160k. You have strong technical skills with Python or C# and SQL, experience with version control and contributing to a shared codebases. Data Engineer (Python SQL Spark Azure Databricks) opportunity.

The majority of development is done in Python. Design, implement, and support scalable Python‑based risk engines leveraging position, reference and market data stored in Snowflake databases.

A leading financial analytics firm in London is seeking a Credit Risk Analyst with expertise in Python and SQL to join their dynamic team.

Proficiency in C#, Python, JavaScript/TypeScript, and SQL. Design, build, and maintain advanced test automation frameworks using Playwright, SpecFlow, and custom tools in C#, Python, and JavaScript/TypeScript. Strong data testing skills (SQL, Snowflake, Databricks), performance/load testing, API and

Technical/Engineer Lead - Defence, Agile, Python, Cloud, SQL, Microservices, Hybrid DV Cleared. Strong SQL/NoSQL data modelling. Proficiency in Python, GoLang, Java, TypeScript/Node.

Use SQL frequently and understand NoSQL databases. Good working knowledge of AWS, Databricks, and Python. Advanced at SQL, including joins and aggregations.

Senior Data Engineer - Python/SQL - sought by leading investment firm - London or Manchester.

Freelance Computational Data Science Expert (Python & SQL). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Verify solutions using Python with standard data science libraries and statistical methods.

The ideal candidate will have strong skills in Python and SQL, focusing on building and maintaining ETL pipelines and ensuring high data quality.

A project-based AI solutions company is seeking experienced data scientists to design and create computational data problems across multiple industries, utilizing expert Python programming and advanced statistical analysis.