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Please submit your CV in English and indicate your level of English proficiency.Mindrift connects specialists with project‑based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.Participation is project-based, not permanent employment.What This

SENIOR DATA ENGINEER - HEALTHCARE - SNOWFLAKE, SQL, AZURE, ADF, PYTHON, FABRIC, AZURE STACK AWS. Progressive, forward thinking, innovative international private healthcare organisation urgently require a talented Data Engineer to help then shape the future state of the organisation. Help create and

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects specialists with project‑based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.Participation is project-based, not permanent employment.What This

Candidates must have over 5 years of experience and be proficient in Python, SQL, and statistical analysis.

A global banking organization is seeking a Junior Data Analyst to provide analytics using large datasets and present insights to stakeholders. Candidates should have strong data analytics experience and proficiency in programming languages like Python and SQL.

This is an excellent opportunity for a Masters Graduate with strong Python and SQL skills.

No prior experience is required. A 10-week online part-time training program to become a data analyst, covering tools like Excel, SQL, Python, and Power BI, with certification and job placement support.

Second Line Application Support Analyst Hybrid – Birmingham (2 days onsite) Join a tech team that keeps some of the UK’s biggest retail brands running. Who Are We? Since 1999, Retail Assist has been powering some of the best‑known names in retail, hospitality, and logistics. From Harvey Nichols and Selfridges, to Papa Johns, Vue International and Hobbycraft, our award‑winning tech services and software help brands deliver exceptional customer experience, every single day. As we continue to grow, we’re looking for curious, proactive problem‑solvers to help us keep mission‑critical applications running smoothly for our customers. Sound like you? The Role: Second Line Application Support Analyst You’ll join our Unified Application Services (UAS) team, taking the lead on diagnosing, fixing, and improving the retail applications our clients rely on across head office, stores, and distribution centres. This isn’t just break–fix. You'll become a trusted expert, working closely with 1st–3rd line teams, suppliers, and customer stakeholders to keep systems stable, solve recurring problems, and continuously improve how we support our customers. If you love getting stuck into complex issues, enjoy learning new systems, and thrive in a collaborative environment — this is the perfect next step. What You’ll Be Doing Application & Incident Support Own 2nd line application incidents and service requests. Troubleshoot using log analysis, SQL queries, dependency checks and structured diagnostics. Guide and support 1st line teams to drive better first-time resolution. Work with suppliers and 3rd line teams when deeper expertise is needed. Problem Management & Continuous Improvement Spot recurring issues and help drive root cause analysis. Suggest service improvements and refine processes, documentation, and monitoring. Carry out minor application config and admin tasks. Communication & Collaboration Work with technical teams, suppliers, and non‑technical users. Provide clear updates and reassurance during incidents. Build strong relationships and develop an understanding of B2C and B2B retail environments. Knowledge Sharing Create clear, helpful documentation and knowledge articles. Share expertise to support team development and reduce single points of failure. Out-of-Hours Support Join an on-call rota once trained, helping keep critical retail applications running 24/7. What We’re Looking For Essential Experience in 2nd line application support or a similar environment. Strong understanding of incident, problem, and change management. Confident communicator who can support non‑technical users. Logical thinker who enjoys investigating and solving issues. Experience with business‑critical applications in retail or multi‑site environments. Proactive attitude, ownership mindset, and eagerness to learn. Desirable Experience with any of the following is a bonus: Windows Server Microsoft 365 Active Directory SQL Server PowerShell/Python AWS or cloud applications Monitoring tools (e.g., SolarWinds) Legacy platforms (iSeries, RTI) Managing third‑party or SaaS incidents What’s In It for You? 25 days holiday + bank holidays Buy up to 5 extra days Discounts & perks via our Benefits Hub Travel pass loan & cycle to work scheme £1,000 refer‑a‑friend bonus Discounted dental care Access to childcare scheme Ready for Your Next Career Step? If you want to take ownership, expand your skills, and make a real impact supporting some of the UK’s most iconic brands — we’d love to hear from you. Apply now and shape the future of retail technology with Retail Assist

Role: Data Insights Analyst Location: UK Salary: Competitive Job Type: Full-time, Permanent We are recruiting for a Data Insights Analyst to join a growing MI, Data and Analytics function within a national organisation operating across care, education, and support services. This is an excellent opportunity for a Data Insights Analyst with strong Power BI and SQL skills to work across a wide range of operational and central datasets, helping drive better reporting, insight, and decision-making across the business. The successful Data Insights Analyst will play a key role in dashboard development, data engineering, analysis, and stakeholder collaboration, supporting teams across operations, HR, Finance, IT, and other central functions. The Role As a Data Insights Analyst, you will be responsible for developing and optimising Power BI dashboards, datasets, semantic models, and DAX, while also supporting ETL workflows and wider data platform activity. You will work with sensitive and regulated datasets, ensuring data quality, reliability, and strong governance standards. Key Responsibilities Build and improve Power BI dashboards, datasets, semantic models, and DAX Ensure reporting solutions are user-focused, well-governed, and high performing Support ETL workflows across SQL Server, Fabric, and cloud-based tools Contribute to modern data platform pipelines, including Databricks, Snowflake, or similar technologies Analyse data across multiple service areas including operational, HR, and Finance Maintain data quality, lineage, and reliability across reporting environments Work closely with stakeholders to translate business requirements into practical analytical solutionsRequired Skills and Experience Strong Power BI development experience Strong SQL / SQL Server skills Knowledge of Microsoft Fabric and modern data platforms Experience working with sensitive or regulated datasets Ability to work across multiple data domains and business functions Strong communication skills with the ability to engage non-technical stakeholders Proactive, analytical, and comfortable managing multiple prioritiesDesirable Experience TimeXtender experience Exposure to Databricks, Snowflake, or similar platforms Experience with APIs, automation, or Python Knowledge of data governance, master data management, and data quality frameworks Experience in healthcare, care, education, residential childcare, or supported living environmentsWhat's on Offer The chance to support meaningful, data-driven work within a national organisation Exposure to a modern data environment including Power BI, Fabric, and enterprise ETL tools Opportunities for professional development across analytics, data engineering, and cloud technologies A varied role with strong stakeholder engagement and real business impactIf you are an experienced Data Insights Analyst looking for your next opportunity, click apply now

Role / Job Title: Senior Teamcenter Developer Teamcenter Migration Project Work Location: Plots 1 & 2, Prologis Park Interchange, Progress Way, Birmingham B40 1AB Mode of Working: Onsite Duration: 6 Months Apply PLM and Teamcenter expertise to transformation programmes where robust engineering data management directly strengthens how organisations innovate and deliver value to their customers. Lead complex Teamcenter customisation and migration initiatives-ensuring data integrity, seamless integrations, and scalable architectures that support long term business growth. To collaborate with global teams, bringing technical leadership, problem solving capability, and a continuous improvement mindset to deliver PLM solutions that truly elevate client operations. The Role Experienced Senior Teamcenter Developer to support Teamcenter migration and transformation program. The role involves defining and designing robust migration strategies, developing extraction & migration utilities and automation, and ensuring data accuracy and system stability throughout the end to end migration lifecycle. This position requires deep technical expertise in Teamcenter, strong problem solving skills, and hands on experience delivering complex PLM migration initiatives. Your Responsibilities (Up to 10, Avoid repetition) Design and implement migration strategies, including data extraction, transformation, load flows, and validation frameworks. Develop custom migration utilities, scripts, and tools using ITK, SOA, Java, Shell/Python, or other relevant technologies. Perform thorough data validation, cleansing, mapping, and reconciliation to ensure accuracy, completeness, and compliance with business requirements. Ensure system integrity, performance, and stability across environments throughout the migration lifecycle. Collaborate with architecture, functional, infrastructure, and QA teams to ensure smooth planning, execution, and cutover of migration activities. Troubleshoot and resolve issues related to data, configuration, and Teamcenter customizations during migration. Document all technical processes, migration approaches, test results, and verification steps. Your Profile Essential Skills / Knowledge / Experience (Up to 10, Avoid repetition) Strong hands-on experience with Teamcenter Unified Architecture (TcUA) Proficiency in BMIDE, including data model configuration and deployments Experience with ITK (C/C++), SOA, RAC, and AWC customizations Practical experience in Teamcenter data migration, including ETL processes Skills in TcXML/PLMXML import export, data mapping, and validation Ability to develop custom migration utilities using Java, C/C++ or Shell Strong understanding of SQL databases (Oracle/MSSQL) and query optimization Experience with Teamcenter APIs (REST, SOA) and integration frameworks Strong debugging, problem solving, and analytical skills Experience with legacy PLM (Teamcenter Enterprise) migrations (nice to have) Desirable Skills / Knowledge / Experience (As applicable) Experience with legacy PLM (Teamcenter Enterprise) migrations (nice to have) Experience with workflow design, process automation, and BMIDE extensions Ability to create technical documentation, migration playbooks, and support guides TPBN1_UKTJ

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.

Data Engineer - Celonis Location: United Kingdom (Fully remote - must live and be able to work in the UK) Job Type: Full-time Eligibility: Must have full right to work in the UK (no sponsorship available)I am very excited to offer an opportunity for a skilled Data Engineer with expertise in Celonis to join a well-established, international professional services organisation. This company is renowned for delivering data, analytics, and automation solutions to large, complex businesses, particularly in finance, operations, supply chain, and customer functions. As part of their UK delivery team, you will play a crucial role in supporting major transformation programmes through practical, hands-on data engineering. Day-to-day of the role: Design, develop, and maintain scalable data pipelines to feed Celonis from various source systems. Build, integrate, and optimise SQL Server-based data warehouse pipelines. Support migration initiatives towards a modern Microsoft Fabric architecture. Develop and maintain Celonis data models using Celonis Data Integration. Translate business and reporting requirements into technical data specifications. Write and optimise SQL and Celonis PQL queries to support dashboards and analysis. Develop Python scripts for data cleansing, transformation, and automation. Implement data quality checks and reconciliation processes across systems. Provide technical support to analysts and business users working with Celonis. Ensure adherence to data governance, security, and access control standards. Required Skills & Qualifications: Proven commercial hands-on experience with Celonis in a delivery environment. Strong experience with Celonis Data Integration and analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL / ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with both technical and non-technical stakeholders.Desirable Skills: Celonis Data Engineer certification. Experience with SQL Server and Microsoft Fabric. Experience integrating data from enterprise platforms (ERP, CRM, finance systems, etc.). Experience in a consulting or client-facing delivery role. Familiarity with cloud data platforms (Azure, AWS, or GCP).Benefits: Opportunity to work in a dynamic, international environment. Competitive salary+ bonus and benefits package. Professional development and career advancement opportunities. Flexible working arrangements (remote / hybrid).To apply for this Celonis Data Engineer position, please apply with an updated CV

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

This role requires proficiency in AWS, Python, and SQL, as well as experience across the data lifecycle.

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.

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

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.

You'll develop back-end applications with Python and Django while optimizing SQL queries.

The ideal candidate will have strong knowledge in Python, Unix, and SQL, while familiarity with KDB is an added benefit.

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.

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

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

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

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

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

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

Working understanding of NoSQL databases. Exposure to Aurora PostgreSQL and MongoDB. Good working knowledge of AWS, Databricks, and Python.

You will utilise relevant coding languages / leverage accounting systems (Python, SQL, and VBA) to automate financial workflows, optimise reporting, and enhance data analysis capabilities.

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. Expert Python programming for data science (pandas, numpy, scipy, scikit‑learn,

The ideal candidate has strong skills in Python and SQL, alongside experience with AWS.

This hybrid role involves working on diverse projects across industries, requiring strong skills in Python, SQL, and AI/ML tools.

Write and maintain Python scripts for automation and support tooling. Manage and query databases using SQL; maintain awareness of data flows and schemas.

Candidates should have strong experience with Python, SQL, Apache Kafka, and AWS.

This hybrid role in London requires strong technical skills in Python and SQL, along with experience in financial services.

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

This full-time permanent position offers hybrid working conditions and requires familiarity with IT environments, SQL, and Python skills.

The ideal candidate has substantial experience with AWS, SQL, and NoSQL databases, and will contribute to an innovative data culture. You will design and deliver reliable data solutions, develop data pipelines using Python and Databricks, and ensure data security.

The ideal candidate has 1-3 years of experience with data engineering, strong SQL skills, and knowledge of data warehousing.

Ideal candidates should have a solid background in software engineering, with significant experience in SQL, Python, and an understanding of NoSQL databases.

The ideal candidate should possess strong expertise in AWS, Databricks, and Python with at least 3 years of experience, alongside solid SQL skills.

A global insurance technology provider in London seeks a Python Developer to design impactful backend services focusing on Python and FastAPI. Ideal candidates have strong SQL skills, Azure cloud experience, and a solid foundation in computer science principles.

Ideal candidates will have over 5 years of experience and expert Python programming skills, along with a solid understanding of statistical analysis and machine learning.

You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred). Python Developer / Backend Software Engineer (Python FastAPI Data Azure) opportunity. Python Developer / Backend Software Engineer (FastAPI SQL Data) London to £95k.

Candidates should have 5-8 years of experience, strong SQL and Python skills, familiarity with ETL/ELT tools, and a degree in a relevant technical field.

This role involves analyzing credit portfolios, developing risk models using Python and SQL, and ensuring compliance with regulations. The ideal candidate has strong experience in Python and SQL, a solid understanding of credit risk frameworks, and relevant educational qualifications.

The ideal candidate will have over 3 years of experience, strong proficiency in Python and SQL, and hands-on experience with relational databases, specifically Postgres.