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The Estates Data, Systems & Reporting (DSR) teams mission is to serve as an agile enabler and assurer to DWP Estates in delivering its strategy through the whole data lifecycle for reliable, validated and assured data, systems and insight. This is in part achieved through delivery of the Estates Data Strategy, considering the DWP, DWP Data and DWP Estate Strategies in its formulation. The role focuses on data and reporting assurance, optimisation, systemisation and DWP Digital, Estates, Integrator and Supply chain collaboration. Delivering and supporting the following 5 enablers from the Estates Data Strategy Primarily Data, Reporting, Infrastructure and assurance while supporting Data Management, data & systems governance, data culture change, Automation and Systems Assurance as means to enable the Estates Data strategy delivery. Lead the development and implementation of DWPs Estates strategic Data Warehouse and Reporting environment from its Integrator 2 contract to meet the requirements of the DWP Estates function, its operating model. Drawing on an extensive background of experience in data engineering your skills will enable you to work with Digital Architects to define and specify the relevant requirements to deliver on the Estates Data Strategy, with specific focus on integrating Data from the Integrator 2 and supply chain in Workplace Services to the DWP. From concept specification to project delivery, delivering data and analytical solutions on the analytics and data reporting platforms. You will be able to act as a senior technical expert in all aspects of delivery and be prepared to provide leadership and guidance to functionally imbedded analysts in a collaborative way. You will be driving the development of a longer-term Analytical strategy for Estates with the Head of Estates Data and Systems, DWP Analytica Services and OGD (Other Government Departments such as GPA & Cabinet Office) to build a sustainable Analytical environment in Estates. You will develop the Estates Data engineering team to help implement and maintain the technology infrastructure that is integrating new and existing sources of data into Data Analytics processes and workflows, so that it can be exploited with maximum efficiency and efficacy. Key skills required include: data engineering, data architecture, data analysis, security architecture, DevOps, people development and business partnering. Digital, Data and Technology Profession Capability Framework This role sits within the following: • Job Family Data job family, • Core Role Data Engineer, • Communication - You assess and interpret the needs of technical and non-technical business stakeholders to build effective requirements specifications. Actively manage communication and expectations throughout projects lifecycles to deliver viable solutions that meet the sponsor and end-user requirements. Effectively manage team or diverse senior stakeholder expectations. Engage with senior stakeholders on new initiatives, ensuring their requirements are understood and met. Involved in the delivery lifecycle from engaging with stakeholders on new initiatives, analysing use cases, developing optimal designs that, where possible, re-use and extend capabilities, and implement and operate the design. Develop an Analytical community of practice to share knowledge, establishing analytical champions, enhancing Estates Governance, standards and processes to provide a strong foundation to develop Estates Analytical capability, individuals, teams, and innovation., • Programming and build - You manage work as part of a team to design, write and iterate code from prototype to production-ready. You understand security, accessibility and version control. You can use a range of coding tools and languages. You can develop code that self-generates documentation that supports Data Scientists and Data Analysts., • Technical understanding - You know about the specific technologies that underpin your ability to deliver the responsibilities and tasks of the role. You can apply the required breadth and depth of technical knowledge., • Testing - You can plan, design, manage, execute and report tests, using appropriate tools and techniques, and work within regulations. You know how to ensure that risks associated with deployment are adequately understood and documented., • Problem resolution - You know how to log, analyse and manage problems in order to identify and implement the appropriate solution. You can ensure that the problem is fixed., • Data Integration - Explore and ingest relevant data sources from WPS and other sources that have to date remained unexplored to enable access for Analytical Services. Focusing on areas such as Integrator DWH, Building Management Systems (BMS), sensor technologies (IoT), and other Big Data sources to improve decisions on Building Occupancy and other focus areas. The role requires the ingestion of a wide range of data assets from Estates supply chain, curating and publishing within the Estates Ecosystem. Seeking to establish and mature advanced data capabilities with standardised practices, machine learning, and agility needed to proactively detect and respond to new issues., • Assurance - Review internal / external Data Warehouse, Data models and Reporting solutions for reliability and validity in design and build for assurance of accurate data provisioning. Assessing data ecosystem lifecycle provisioning, transformation and representation for improved data quality across multiple platforms and organisations., • Data Ecosystem - Working with Digital Architects to scope, design, and build an appropriate data ecosystem that effectively integrates Estates extensive external data to an environment where it can be effectively curated with Master Data Management Tooling and disseminated to appropriate functions in the most effective and controlled way. Establishing standards, keeping the solutions up to date while keeping abreast of best practice in industry and across government., • Data Analysis and Synthesis - Working in close association with the DWP Digital, Estates, and wider DWP Analytical functions, establish, embed & continuously improve Estates data capabilities that enable data analysts within Estates and wider DWP to develop insights that inform Estates and wider DWP decisions with resilient platforms and curated data assets from its predominantly external data sources.Person specification Essential Skills, Knowledge & Experience • Experience in designing, building, and deploying efficient, scalable, automated ETL/ELT pipelines e.g., traditional data warehousing, modern cloud data warehousing, data lake/big data approaches., • Experience in designing and developing data solutions on public cloud (AWS/Azure/GCP)., • Experience in one or more Programming languages (SQL, Python)., • Experience with data visualisation and analysis (e.g., PowerBI, SAS)., • Experience in Data Storage and database technologies (e.g., RDBMS, NoSQL, Distributed Storage)., • Experience in distributed version control tools, and awareness of modern code deployment methods (CI/CD)., • Experience in supporting the design of data models/data flows., • Experience in technical leadership, advising on architecture and technology, setting direction, collaboration across teams, and mentoring more junior staff., • Experienced in all levels of customer relationship management and stakeholder liaison., • Experienced in working in Real Estates / Property environment, with deep understanding of Real Estate data and analytics., • Influential in leading key stakeholders towards solutions that give a balance of optimal commercial performance whilst delivering on strategy., • Experience of working with JIRA (or Azure DevOps or similar tools) within an Agile/Scrum environment., • Experience/understanding of software and data lifecycle management., • Educated to degree level (not essential, experience is key). Relevant numerate, technical or computer science discipline would be an advantage. Desirable • DAMA UK Membership., • Data Professional accreditation from recognised industry body.Benefits Alongside your salary of 75,026, Department for Work and Pensions contributes 21,735 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides. DWP have a broad benefits package built around your work-life balance which includes: • Working patterns to support work/life balance such as job sharing, term-time working, flexi-time and compressed hours., • Generous annual leave at least 23 days on entry, increasing up to 30 days over time (prorata for part time employees), plus 9 days public and privilege leave., • Support for financial wellbeing, including interest-free season ticket loans for travel, a cycle to work scheme and an employee discount scheme., • Health and wellbeing support including our Employee Assistance Programme for specialist advice and counselling and the opportunity to join HASSRA a first-class programme of competitions, activities and benefits for its members (subscription payable monthly)., • Family friendly policies including enhanced maternity and shared parental leave pay after 1 years continuous service., • Funded learning and development to support progress in your role and career. This includes industry recognised qualifications and accreditations, coaching, mentoring and talent development programmes. For these vacancies, we strongly recommend that applicants consult with an immigration specialist or qualified advisor to assess their eligibility for Visa Sponsorship before deciding to apply. Please note that while we consider sponsorship requests in accordance with current DWP guidance and Home Office policy, sponsorship cannot be guaranteed. Location Applicants should apply for suitable posts where they can travel to and from their home office location daily within a reasonable time. Please be aware that this role can only be worked in the UK and not overseas. Relocation costs will not be reimbursed Hybrid Working This role may be suitable for hybrid working, which is where an employee works part of the week in their DWP office and part of the week from home. This is a voluntary, non-contractual arrangement and your office will be your contractual place of work. If a hybrid working arrangement is suitable for the role and for you, you will normally be required to spend a minimum of 60% of your contracted working hours from your DWP office. If you have a disability, caring responsibilities, or other circumstances that may affect your ability to meet the minimum office attendance requirement, please discuss this with us using the contact details in this advert. Successful candidates will be posted in merit order based on your location preferences and the geographical requirements of the business Things you need to know Selection process details This vacancy is using Success Profiles (opens in a new window) , and will assess your Strengths and Experience. STAGE 1 - APPLICATION & SIFT As part of the application process you will be asked to provide a Personal Statement of no more than 1000 words against the essential criteria as outlined above. You will also be asked to provide a short CV. Your CV should be fairly short and just evidence very brief details of your work history and Qualifications. While your CV is not formally scored it will be used to validate the evidence of your Personal Statement. Please do not submit a speculative application where you do not meet at least 50% of the essential criteria as these applications will be unsuccessful. Do not include Behaviour examples within your application as these will not be assessed in the sift and will only be used at interview stage. Further details around what this will entail are listed on the application form. There will be an initial sift of applications based on the Personal Statement only, so please ensure you evidence how you meet the Essential Skills, Knowledge & Experience requirement contained in the vacancy in this section. This will form a short list for interview. STAGE 2 - INTERVIEW All candidates who are successful at the sift stage will undertake a single virtual video interview. There, you will be assessed against the experiences listed in the essential criteria. You will also be asked additional questions to validate your technical knowledge which will be measured against the essential criteria as specified in the vacancy. Your will also be asked some strength questions. Currently the sift is scheduled to take place w/c 8th December 2025and interview dates either w/c 15th or 22nd December 2025. Interviews are scheduled to take place virtually and dates are subject to change. Further Information At the Department for Work and Pensions (DWP) we value diversity and inclusion and actively encourage and welcome applications from everyone, including those that are underrepresented in our workforce. Find out more about working for DWP on the DWP Careers Hub . Reserve List A reserve list may be held for a period of 12months from which further appointments can be made. If you are placed on a reserve list but we cannot immediately offer you a post, please note: • If you are later offered the role you applied for, in a location you have expressed a preference for, and you decline the offer or are unable to take up the post within a reasonable timeframe you will be withdrawn from the campaign and removed from the reserve list, other than in exceptional circumstances (e.g. a contractual Part Time Working Pattern cannot be accommodated in the initial role offered or in cases of serious ill health). If high application volumes are received, the benchmark for candidates to proceed to the next stage may be raised. In line with our commitment to the Disability Confident Scheme (DCS), we aim to advance all candidates applying under the DCS who meet the minimum standard. However, we may only progress those candidates who best meet the required standards. Reasonable Adjustments We consider visible and non-visible disabilities, neurodiversity or learning differences, chronic medical conditions, or mental ill health. Examples include dyslexia, epilepsy, autism, chronic fatigue, or schizophrenia. If you need a change to be made so that you can make your application, you should contact the Government Recruitment Service via as soon as possible before the closing date to discuss your needs. Complete the Reasonable Adjustments section in the Additional requirements page of your application form to tell us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if youre deaf, a Language Service Professional. If you are experiencing accessibility problems with any attachments on this advert, please contact the email address in the 'Contact point for applicants' section. Integrity, plagiarism, Civil Service Principles and the use of Artificial Intelligence (AI) The Civil Service values honesty and integrity and expects all candidates to abide by these principles. Please ensure that all examples provided in your application are taken directly from your own experience and that you describe the examples in your own words. Examples of plagiarism can include: • Presenting the work, ideas and experience of others as your own Disclosure and Barring Service and Internal Fraud Database Checks In order to process applications without delay, we will be sending a Criminal Record Check to Disclosure and Barring Service/Disclosure Scotland on your behalf. However, we recognise in exceptional circumstances some candidates will want to send their completed forms direct. If you will be doing this, please advise Government Recruitment Service of your intention by emailing stating the job reference number in the subject heading. For further information on the Disclosure Scotland confidential checking service telephone: the Disclosure Scotland Helpline on 0870 609 6006 and ask to speak to the operations manager in confidence, or email Applicants who are successful at interview will be, as part of pre-employment screening, subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicants details held on the IFD will be refused employment. A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government. If successful and transferring from another Government Department, a criminal record check will be carried out. Important New entrants are expected to join on the minimum of the pay band. Before applying for this vacancy, current employees of DWP should check whether a successful application would result in changes to their terms & conditions of employment, e.g. mobility, pay, allowances. If you are a current employee and are successful you must be able to be released from your current post within four weeks. Those on protected TUPE/ COSoP terms and conditions applying on promotion or voluntary permanent level move will adopt DWPs Terms and Conditions and this may have a different impact on pay and allowances. Please review this prior to acceptance of a role. Civil Servants that would transfer into DWP from other government organisations, following successful application, will assume DWP's terms & conditions of employment current on the day they are posted, unless DWP has stated otherwise in writing. Accepting a post will be taken to mean acceptance of revised terms & conditions. Civil Servants applying on promotion will usually be appointed to the salary minimum or within 10% of existing salary. Any move to DWP from another employer will mean you can no longer access childcare vouchers. This includes moves between government departments. You may, however, be eligible for other government schemes, including Tax Free Childcare. Determine your eligibility at the Childcare Choices Website. Feedback will only be provided if you attend an interview or assessment. Security Successful candidates must undergo a criminal record check. People working with government assets must complete baseline personnel security standard (opens in new window) checks. Nationality requirements This job is broadly open to the following groups: • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020, • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service Further information on nationality requirements (opens in a new window) Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) . Apply and further information This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window) . Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records. Contact point for applicants Job contact : • Name : Matt Pepper Appointment to the Civil Service is governed by the Civil Service Commissions Recruitment Principles. If you feel your application has not been treated in accordance with these principles and you wish to make a complaint, you should in the first instance contact DWP by email: . If you are not satisfied with the response you receive from the Department, you can contact the Civil Service Commission. Click here to visit the Civil Service Commission. Attachments DWP Terms and Conditions January 2024 Opens in new window (docx, 17kB) Success-Profiles-Candidate-Overview Opens in new window (pdf, 635kB)

If you're looking to take an exciting new direction with your HSBC career, an internal move can open the door to many opportunities, allowing you to take on a new challenge, and develop your skills. Bring your knowledge of our brand to a new role and grow yourself further. Technology teams in the UK work closely with our global businesses to help design and build digital services that allow our millions of customers around the world, to bank quickly, simply and securely. They also run and manage our IT infrastructure, data centres and core banking systems that power the world's leading international bank. Our multi-disciplined teams include: DevOps Engineers, IT Architects, Front and Back End Developers, Infrastructure specialists, Cyber experts, as well as Project and Programme managers. A move across the business allows you to continue to access tailored professional development opportunities, and our fantastic benefits packages. Enterprise Technology is the Technology organisation responsible for the design, build and ongoing maintenance of the systems owned by the Group Functions (Risk, Compliance, Finance, Core Banking, Corporate Functions and Deputy COO). The organisation consists of over 8,000 people working in collaboration across 14 countries, to support over 3,000 applications. The Reporting & Analytics stream sit within Colleague Experience Technology under the Enterprise Technology global function. The stream is responsible for HSBC's HR and people related insights. We are currently recruiting Data Engineers to be part of a Group HR Data Analytics Platform project which will serve as a backbone to people related insights, Data science landscape for research and analytics and output data as a strategic data refinery/Data Backbone. In this role you will: • Design, develop, and optimize data pipelines using Azure Databricks, PySpark, and Prophesy., • Implement and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and Apache Airflow for orchestration., • Develop and optimize complex SQL queries and Python-based data transformation logic., • Work with version control systems (GitHub, Azure DevOps) to manage code and deployment processes., • Automate deployment of data pipelines using CI/CD practices in Azure DevOps., • Ensure data quality, security, and compliance with best practices., • Monitor and troubleshoot performance issues in data pipelines. To be successful in this role you should meet the following requirements: • Must have experience with Delta Lake and Lakehouse architecture., • Proven experience in data engineering, working with Azure Databricks, PySpark, and SQL., • Hands-on experience with Prophesy for data pipeline development., • Proficiency in Python for data processing and transformation., • Experience with Apache Airflow for workflow orchestration., • Strong expertise in Azure Data Factory (ADF) for building and managing ETL processes., • Familiarity with GitHub and Azure DevOps for version control and CI/CD automation. This role is based in Sheffield and offer hybrid working. Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.

Plan B Talent Ltd is excited to be supporting a fast-growing organisation on a significant data transformation journey across the UK & Ireland. We’re seeking a talented Senior Data Engineer who can deliver high-quality technical solutions today, while also having the ambition and capability to develop into a more strategic leadership role in the future. This position offers a rare opportunity: once the data and technology foundations are fully established, the role has the scope to evolve into a Head of Data–style position, shaping data strategy and influencing decision-making at a senior level. The Role In the near term, your focus will be on designing, building and optimising Azure-based data pipelines, datasets and reporting foundations. You’ll work closely with Sales, Finance, Procurement and Business Performance teams to convert business requirements into robust, scalable data outputs. You’ll also collaborate with a wider European data community to ensure alignment with a broader Data Factory Architecture, supporting shared assets, automation and dashboard development. As the organisation’s data capabilities mature, you’ll have the opportunity to shift into a more strategic role—taking greater ownership of data direction, standards, governance and long-term vision. Key Responsibilities • Develop, maintain and optimise Azure data pipelines, dataflows and integrations aligned with a modern European data architecture., • Build and refine datasets used across CRM, supplier and financial systems, ensuring accuracy, consistency and usability., • Translate business requirements into well-structured data models in partnership with cross-functional teams., • Develop and maintain semantic models and datasets for Power BI, ensuring consistency of KPIs and reporting definitions., • Work closely with European data engineers and analysts to industrialise dashboards, automation and shared data assets., • Monitor data quality and performance, proactively resolving issues and driving continuous improvement., • Contribute to data process documentation, lineage tracking and best-practice development. Skills & Experience • Significant hands-on experience as a Data Engineer, BI Developer or similar technical role in a data-driven environment., • Strong proficiency with Azure data technologies such as Data Lake, Databricks, Data Factory, Azure Functions (or similar)., • Excellent SQL skills, with experience building and optimising queries, stored procedures and data transformations., • Experience preparing models and datasets for Power BI., • Strong understanding of data quality, metadata, lineage and general data management principles., • Confident working with stakeholders at all levels, able to translate between technical and non-technical audiences., • Delivery-focused, pragmatic and effective in a matrix environment., • Ambitious, with the desire to develop into a more strategic, leadership-oriented role over time. Career Development Opportunity This role is ideal for a technically strong Data Engineer who enjoys delivery and stakeholder engagement but is also looking for a long-term career path. As the organisation’s data landscape matures, there is genuine progression into a strategic role, with responsibility for shaping data vision, governance, and enterprise-wide data strategy. At Plan B Talent, we are committed to creating an inclusive, equitable, and diverse environment for all our clients, candidates, and employees. We believe that diversity in all its forms, including but not limited to race, gender, age, sexual orientation, disability, socio-economic background, and cultural identity, is a powerful driver of innovation, success, and growth. We welcome conversations to discuss adjustments that might be needed as part of the application or interview process.

Senior Azure Data Engineer Remote Working £85,000 + Benefits We’re looking for a Senior Azure Data Engineer to help design and deliver modern, scalable data solutions for enterprise customers. You’ll work hands-on across cloud-native architectures, building high-quality data products and helping organisations make better decisions through clean, reliable, well-structured data. In this role, you’ll partner with stakeholders to understand business needs, develop robust data pipelines and platforms, and enable customers to truly unlock the value of their data investments. This is a great opportunity to contribute to standards, influence best practice, and shape real delivery outcomes. How your day will look: • Collaborate with customers to capture requirements and design data solutions that drive measurable outcomes., • Improve the way organisations create, govern, and manage their key data assets., • Build cloud-native data products using modern Azure services and engineering patterns., • Design and implement data lake architectures that connect, transform, and leverage internal and external data., • Support full delivery cycles, from prototyping and testing through to deployment and launch., • Produce technical documentation to support data platform design and long-term operation., • Help refine and evolve engineering principles, development standards, and best practice. Skills & Experience: • Hands-on experience with Azure data services such as Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, and Purview., • Strong Python and SQL skills for transformation and pipeline development., • Solid understanding of Azure data storage/warehouse technologies including SQL MI and Synapse., • Familiar with DevOps ways of working, including CI/CD and IaC (e.g., Bicep, Terraform)., • Experienced working in Agile teams, using Azure DevOps for collaboration and delivery. Desirable: • Experience with Azure tooling for infrastructure provisioning and monitoring (e.g., Terraform, ARM, Policy, Monitor, Log Analytics). Why Join? • Play a key role in designing and delivering high-impact Azure data solutions., • A collaborative culture that values innovation, technical excellence, and professional growth., • Opportunity to influence engineering direction, tooling, and best practice., • Competitive salary and benefits package. If you’re a Senior Azure Data Engineer passionate about delivering modern cloud-first data platforms, we’d love to hear from you. 🌳🌳🌳 Areti Group – Climate positive tech recruitment 🌳🌳🌳 We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.

Databricks Engineer - SC Cleared Fully Remote Duration: 6 Months Location: London Rate: £500-£550 per day (Inside IR35) Start Date: ASAP Are you an SC Cleared Databricks Engineer with a passion for building scalable data solutions? Do you have extensive experience in designing and optimising data pipelines, cloud-native platforms, and advanced analytics ecosystems? We are working with a leading multinational client seeking a skilled Databricks Engineer to drive innovation and enable data-driven decision-making, advanced analytics, and AI capabilities. The successful client will be responsible for designing, developing, and optimising data pipelines and analytics solutions using Databricks within a secure environment Critical Skills • Extensive experience with Databricks (Spark, Delta Lake, and MLflow)., • Proficiency in ETL/ELT development and orchestration tools (DBT, Airflow, or similar)., • Hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Solid understanding of SQL, Python, and PySpark for data processing., • Familiarity with CI/CD pipelines and DevOps practices for data solutions. You will be collaborating with a variety of data specialists. The role will require you to maintain a passion for solving complex data sets, spearheading innovation whilst ensuring efficient delivery of data solutions. If this looks like the role for you, apply now and get in touch.

One of our International customers is now has a new opportunity for a Senior AWS Technical lead The initial contract will be for 12 months with a possible extension. Project Details : • Role: Senior AWS Technical lead, • Location: Glasgow, 2 days per week, • Start: ASAP or 1st Dec, • Duration: 12 months Contract, • Capacity: Full-time, • Contract: Inside IR35 Skills Required • Strong hands-on data engineering experience delivering production-grade solutions., • Strong SQL and programming (Python/Pyspark preferred); capable of building reusable and scalable code., • Strong Experience in Databricks development/migration, • Experience with Apache Spark, Databricks Delta Lake, Unity Catalog, and MLflow., • UI development experience as must along with AWS CloudFormation. Let's connect for more details. You can apply on the job post or send me your most updated CV to

• Data Scientist, • Initial 6-month contract, • £475 to £500 per day, • Outside IR35, • Remote Working (+ occasional site visits) The Opportunity ISR are supporting a major UK Government Agency seeking an experienced Data Scientist to help shape and expand their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping to deliver better outcomes for the general public through data-driven insights. NB: Candidates must be eligible for BPSS security clearance which will be processed following successful interviews (normally takes between 7 and 14 days). Skills and Experience • Proven experience in data science and analytics, ideally within government or regulated sectors., • Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning., • Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services)., • Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment., • Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query., • Experience in data pipeline automation and data governance in large-scale environments (Desirable)., • Familiarity with modern AI frameworks and open-source toolkits (Desirable). Role and Responsibilities • Design and implement data models and pipelines to support advanced analytics and reporting., • Apply machine learning, natural language processing (NLP), and AI models to derive meaningful insights from complex datasets., • Work closely with Data Engineers, Software Developers, and Analysts to build and optimise data workflows., • Integrate multiple data sources, ensuring data quality, consistency and alignment with government standards., • Support the design, validation, and continuous improvement of analytical models, contributing to long-term data strategy. Applications: Please call Edward here at ISR on 07436 071 872 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?

Job Title: Artificial Intelligence Engineer (Databricks) Rate: DOE (outside IR35) Location: Remote Contract Length: 6 months A consultancy client of ours have secured a project requiring a Databricks focused Artificial Intelligence Engineer. This is an exciting opportunity to work on cutting-edge machine learning projects, building scalable ML pipelines and cloud-based systems that deliver real-world impact. Key Responsibilities: • Lead the design, development, and optimisation of scalable machine learning workflows using Azure Databricks, • Build and deploy robust ML pipelines leveraging Delta Lake, MLflow, notebooks, and Databricks Jobs, • Apply advanced knowledge of Databricks architecture and performance tuning to support production-grade ML solutions, • Collaborate with data scientists, data engineers, and analysts to operationalise machine learning models at scale, • Champion the use of Databricks-native features (e.g., Unity Catalog, MLflow Model Registry, AutoML) to improve model lifecycle management, • Migrate legacy model training and scoring workflows into unified Databricks-based pipelines, • Ensure best practices in model reproducibility, governance, monitoring, and security within the Databricks environment, • Act as a subject matter expert on Databricks ML capabilities, advising on architecture, tools, and integrations, • Mentor peers and junior engineers on ML engineering practices, with a focus on MLOps and Databricks workflows, • Continuously improve the machine learning platform, tooling, and deployment practices to accelerate delivery Experience and Qualifications Required: • Deep hands-on experience with Azure Databricks, particularly in developing and deploying machine learning solutions using Delta Lake, MLflow, and Spark ML/PyTorch/TensorFlow integrations, • Strong programming skills in Python (including ML libraries like scikit-learn, pandas, PySpark) and experience using SQL for data preparation and analysis, • Experience orchestrating end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment, • Solid understanding of MLOps principles, including model versioning, monitoring, and CI/CD for ML workflows, • Familiarity with Azure cloud services, including Azure Data Lake, Azure Machine Learning, and Data Factory, • Experience with feature engineering, model management, and automated retraining in production environments, • Knowledge of data governance, security, and regulatory compliance in the context of ML workflows, • Strong problem-solving skills, with the ability to debug and optimise distributed ML pipelines, • Proven track record of delivering machine learning models in production within enterprise-scale environments, • Excellent communication and collaboration skills, with experience engaging both technical and business stakeholders, • Experience mentoring others and promoting best practices in ML engineering and Databricks usage If this sounds like an exciting opportunity please apply with your CV.

Power BI Developer * Central Government Experience is Essential** Rate: £480/day (Inside IR35) Duration: 3 months to begin with (expected to me 18 month project) Location: Remote Start: ASAP * Central Government Experience is Essential** Overview We’re looking for an experienced Power BI Developer to join a central government client. The role will focus on building, optimising, and maintaining interactive BI dashboards and data models that deliver actionable insights to senior stakeholders across departments. Key Responsibilities • Design, develop, and deploy Power BI reports and dashboards aligned with departmental KPIs and operational needs., • Transform, cleanse, and model complex datasets from multiple sources (SQL Server, Excel, SharePoint, APIs, etc.)., • Implement DAX calculations and data visualisations following best practices for usability and performance., • Work closely with analysts, data engineers, and business leads to gather requirements and ensure data accuracy., • Optimise Power BI dataflows and dataset refresh performance., • Ensure compliance with Government Digital Service (GDS) and data governance standards., • Support documentation and knowledge transfer to internal teams. Essential Skills & Experience • Proven experience as a Power BI Developer within central government or wider public sector environments., • Strong knowledge of Power BI Desktop, Power Query (M), and DAX., • Proficient with SQL and relational databases., • Experience integrating data from multiple structured/unstructured sources., • Familiarity with Azure Data Services (Data Lake, Synapse, or Data Factory)., • Understanding of data governance, information security, and GDPR in government contexts., • Excellent communication and stakeholder management skills. Apply now or email for more information

Data Engineer (Senior) – UK Remote Package - Competitive (We can look at all levels here) We are looking for a Senior Data Engineer to help shape and mature our data platform. You will work alongside our existing Data Engineer and collaborate closely with Data Science and Analytics teams to bring structure, best practices, and scalable data engineering design into our environment. This role is ideal for someone who has helped organisations move from fragmented or legacy data processes to structured, observable, and scalable modern data pipelines. Key Responsibilities • Design, build, and maintain production-grade ETL/ELT pipelines to integrate and transform data into a centralised data lake / feature store., • Assess and enhance our on-premise SQL and data lake environment, introducing standardisation, testing, observability, and automation., • Collaborate with Data Science and Analytics teams to ensure clean, reliable data supports modelling, reporting, and operational use-cases., • Implement and maintain orchestration frameworks (e.g., Dagster, Airflow, Prefect)., • Develop and maintain complex data processing systems (e.g., event streaming, usage rating, CDR flows)., • Advocate for good engineering practice: version control, documentation, reproducibility, modularity, and scalability., • Communicate technical concepts clearly to both technical and non-technical stakeholders., • Help define “what good looks like” in modern data engineering within the organisation. About the Environment • Primarily on-prem, containerised compute workloads., • Transitioning from legacy workflows to Python-first, modern data engineering., • Mix of SQL Server databases and distributed or unstructured data sources., • Strategic direction is the build-out of a Data Lake Feature Store., • Collaborative data function including a Data Science Manager, Data Scientists, Senior Analysts, and Data Engineering. What You Bring • Advanced experience in Python and SQL, • Strong experience building ETL/ELT pipelines and data transformations, • Hands-on experience with orchestration frameworks (Dagster, Airflow, Prefect, dbt), • Ability to analyse and structure complex datasets, • Strong communication skills with both technical and non-technical colleagues Desirable • Experience with Spark, Dask, or Polars, • Experience with containerisation (Docker, Swarm, Kubernetes), • Additional programming languages (R, PHP, Go) Qualifications • Bachelor’s or Master’s in Data Engineering, Computer Science, Applied Mathematics, Physics, or similar technical field., • 3+ years’ experience in data engineering or similar computational/data-intensive roles. Note: Ideally, we are looking for someone more Senior/Managerial level, but we can also entertain solid Data Engineering prospects of all levels. If you’re interested to know more apply today for immediate consideration.

An established health and wellbeing organisation is expanding its data function and seeking a hands-on Data Engineer to help develop and maintain robust data infrastructure. You’ll work on a wide range of projects supporting analytics, reporting and client delivery. Key responsibilities • Design, build and maintain reliable data pipelines and integrations across multiple systems., • Develop and optimise data models to support reporting, dashboards and KPIs., • Build and maintain Power BI dashboards and automated data flows., • Collaborate with product, engineering and business teams to deliver high-quality, usable data., • Support the development of a centralised data warehouse and data lake., • Uphold data quality, governance and documentation standards. Tech environment SQL Server, Azure Data Platform, Power BI, Azure Fabric, Cosmos DB, APIs, and third-party integrations. Profile • Strong SQL and data modelling experience., • Proven background in data engineering within Microsoft-based environments., • Comfortable interpreting and transforming large, complex data sets., • Clear communicator who can explain data insights to non-technical stakeholders., • Hands-on problem solver who delivers reliable, production-ready solutions. Details • Full-time, home-based across the UK., • Salary up to £60,000 depending on experience. Interested, or know someone who would be? Click apply or get in touch directly on

About Us At Ingentive, we are a Microsoft Elite Partner recognised as one of the Great Places to Work, and proud to hold all seven Microsoft solution designations. As a member of the Microsoft Inner Circle, we rank in the top 1% of partners globally, and were recently named Microsoft’s #2 enterprise partner for driving advanced agentic AI transformations. We specialise in transforming business systems through AI-led application development and process optimisation, with a strong focus on both Power Platform, the Dynamics 365 stack for CRM and ERP. Our mission is to help organisations unlock value by combining intelligent agents, natural language interfaces, and low-code platforms to build scalable, governed solutions that solve real business challenges. Award-winning and innovation-driven, we are at the forefront of the shift from traditional low-code to intelligent business applications empowering fusion teams to deliver faster, smarter, and more impactful outcomes. The Role You will be part of the Pro code and Big Data division and reports to the Solution Architect. You will provide technical analysis, design, and development experience for both Ingentive and its clients. You will have the ability to prioritise tasks, communicate clearly, have a consistent track record of delivery and proven excellent software engineering skills. You must be able to work across multiple areas of a project and manage various responsibilities at the same time. You will also commit to agreed deliverables and schedules. Essential Expertise • Experienced in .NET development and AI technologies., • Proficiency in using AI Foundry and advanced copilot tooling., • A track record of performing Code QA and pull requests for AI and .NET solutions., • Capable of engaging in the software development project lifecycle from pre-sale to production., • Validating AI and .NET development requirements to ensure they are fit for purpose and provide optimal solutions., • Estimating development requirements for AI and .NET deployments., • Hands-on experience with AI integration protocols and .NET frameworks. Desirable Expertise • Experience with the creation of Proof of Concepts (POCs) for pre-sales and on-project deployments., • Experience developing and validating Azure iPaaS components for integration purposes., • Expertise in extending AI functionality and a solid understanding of AI frameworks., • Proficiency in Microsoft SQL Server, including designing, querying, and optimizing databases to support AI and .NET solutions., • Familiarity with Microsoft Fabric, including Data Lake and Synapse integration for AI-driven reporting solutions (DP-100/DP-700), • Relevant Microsoft AI certifications/training (AI-102/AI-900/DW-104)., • Experience designing and deploying AI-powered dashboards using Power BI., • Understanding of data modelling and semantic layer design to support intelligent analytics., • Ability to integrate AI outputs into reporting pipelines for real-time or predictive insights., • Knowledge of DAX and Power Query in the context of AI data visualization. Objectives and Responsibilities On a daily basis, your varied role will include, but is not limited to: • Collaborating with cross-functional teams to validate and estimate development requirements., • Developing, testing, and deploying AI and .NET solutions and customizations., • Assisting with pre-sales activities, including POCs and client presentations., • Performing Code QA, ensuring adherence to quality standards and best practices., • Developing robust and efficient code patterns and business logic for seamless AI and .NET operations., • Any other duties as required by your manager. Quality Measures Your performance will be measured against the achievement of the objectives and responsibilities listed above, including: • Ensuring high levels of client satisfaction by maintaining excellence in communication and delivery., • Meeting development deadlines and project milestones., • Demonstrating behaviour aligned with the company values of Passion, Performance, and Partnership. Behaviour in Line with Company Values • Passion: Exhibit enthusiasm and commitment to achieving excellence in your work., • Performance: Deliver solutions that meet or exceed client expectations, focusing on measurable outcomes., • Partnership: Foster collaboration with team members, clients, and stakeholders to build strong and enduring relationships. Teammates’ benefits: • Bonus Schemes, • Life Assurance, • Private medical cover, • Group income protection, • Great Company Pension, • Enhanced Sick Pay, • Enhanced Family Leave Pay, • Volunteering Leave, • Teammate recognition scheme, • Loyalty award scheme, • 24/7 access to EAP including Wisdom AI app, • Access to Bright Exchange Online marketplace, • Remote working with the option to work from our Central London Office Our Purpose and Values Vision - Empowering enterprises to their full potential with intelligent Microsoft solutions Mission - Rapidly delivering intelligent Microsoft technology solutions Values – Passion, Performance, Partnership Successful applicants must have the right to work in the UK and a basic DBS check is required for this position. Ingentive are committed to equality of opportunity, diversity and inclusion. We welcome applications from all suitably qualified candidates. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.

We are partnering with a fast-growing SaaS company to hire a Lead Data Engineer who will help shape and scale their next-generation data and analytics platform. This role sits within a modern data function where engineering, analytics, and product work closely together. The Lead Data Engineer will guide a small team, own the full data lifecycle, and deliver trusted, high-performance data products that support customers and internal stakeholders. It’s a hands-on leadership role with strong technical influence — ideal for someone who enjoys building scalable pipelines, improving data quality, and shaping the direction of a growing platform. What You’ll Be Doing • Leading a small team of data engineers and analysts to design, build, and maintain scalable data solutions., • Owning the end-to-end data lifecycle — from ingestion and transformation through to analytics and data product delivery., • Architecting and operating pipelines using Databricks, Spark, and Delta Lake, ensuring performance, reliability, and cost-efficiency., • Working closely with BI developers and analysts to deliver dashboards, extracts, datasets, and APIs that power customer insights., • Shaping platform architecture and setting technical direction for data engineering best practices., • Driving improvements in data quality, lineage, governance, and observability., • Playing a key role in data DevOps, CI/CD, testing, and cloud operations., • Partnering with product and engineering teams to align work with the platform roadmap., • Overseeing operational monitoring and support for the data platform., • Promoting a learning culture in the team and encouraging experimentation with new tools and approaches., • Mentoring team members and supporting their development. Skills & Experience Required • Experience leading or mentoring data engineering teams within a SaaS or product-led environment., • Deep hands-on knowledge of Databricks, Apache Spark, and Delta Lake, including large-scale or near real-time workloads., • Strong proficiency in Python, SQL, and cloud data services (Azure preferred, but any major cloud is fine)., • Experience designing and operating end-to-end data and analytics architectures., • Good understanding of BI tooling (e.g. Power BI, Tableau) and analytics modelling., • Strong grasp of ETL/ELT orchestration, data quality frameworks, and observability tooling., • Familiarity with governance practices including lineage, cataloguing, and data integrity standards., • Awareness of data security, access controls, and compliance considerations., • Experience with CI/CD, infrastructure-as-code, and cost-optimised cloud engineering., • Confident communicator, comfortable working with both technical and non-technical teams., • Naturally curious and motivated by delivering new insights and data products using modern tooling. Why This Role? • Chance to lead and grow a talented team while remaining hands-on technically., • Ownership of a modern data platform with strong influence on architecture and future direction., • Opportunity to deliver customer-facing data products with real business impact., • Collaborative environment with the freedom to innovate and use emerging technologies.

About the job Location - Remote or our office in the Lake district Role - Full time - Third party ski school sales Salary - £25,400 annually Start date - ASAP Maison Sport is revolutionising the way ski & snowboard instructors work around the world, whilst dramatically improving the customer experience in finding and booking an instructor. Objective: Recruit ski schools to join Maison Sport on an exclusive basis in resorts across Europe, with a focus on Austrian resorts Your job will be to sign ski school’s up to Maison Sport's innovative platform, from cold outreach, to negotiating a contract, through to on-boarding them onto the platform. We’re looking for an outgoing individual that has a passion for building and maintaining strong relationships and a native level of spoken and written German and English The role will involve you working within our Instructor Community team, cold calling or using yours or our extensive network, to reach ski school directors. In person meetings in ski resorts will be required at times, and so you should be willing and happy travelling across Europe on your own or in a team. Once the prospective ski school has indicated they are interested in joining, you will guide them through the contract and onboarding phase, ensuring they become a revenue contributor to the business. Required skills: • German speaker, • Knowledge of the Austria ski market (Preferred), • Experience in a sales focused role, • A passion for providing excellent service., • Excellent communication skills., • Skiing/snowboarding experience (any instructor qualifications are a big plus). It is essential you have the mind-set of an eternal learner, willing to always improve your knowledge. The current team as a whole are driven to succeed and we have created an environment where our team can follow their passions.

Qualification The Solutions Architect role at Impetus is critical, as we design cutting-edge solutions for some of the biggest global enterprises. Our SAs drive customer success by aligning business goals with IT services, software products, platforms, and infrastructure. They are creative problem solvers who collaborate closely with clients to understand challenges and architect solutions that address them. In a rapidly evolving technology landscape filled with countless tools and platforms, SAs play a vital role in helping customers make the right technology choices, ensuring both immediate and long-term success. The Skills You’ll Need: • Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data., • Experience in defining and designing data governance, data management, and data security solutions for an enterprise across business verticals, • Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP, • Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.), • Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads., • Knowledge of market insight, technology trends, and competitor intelligence, • Exceptional customer orientation and consultative Skills., • Excellent communication (verbal and written), interpersonal, organization, documentation, and presentation skills (to executive-level staff and to large groups), • Able to make decisions on technical and design tradeoffs to best meet customer’s needs., • Active passion and experience in innovative technologies., • Must be a self-starter, results oriented and flexible to adapt to ambiguities and changes., • Open to frequent travel to meet with customers and attend internal and external events across the Americas and Europe. Skills Required: Data Warehousing, ETL, Big Data, Presales Role: At Impetus, you will operate at the intersection of business and engineering, engaging with engineers, managers, sales teams, and C-level executives—internally and on the client side—to create a shared understanding of business objectives and how the proposed solutions will achieve them. Your ability to bridge the gap between technical and strategic decision-making ensures that our solutions not only solve current challenges but also drive long-term growth and innovation. • Work closely with customers to understand their business needs and challenges, translating them into actionable solutions., • Lead onsite workshops with customers to design & develop prototypes in collaboration with engineering teams., • Develop overall solutions, including architecture, high-level design, statements of work, service design, and bills of materials., • Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor., • Develop use case demonstrations and proofs of concept in collaboration with sales, customers, and Impetus implementation teams., • Lead technical responses to RFI/RFP., • Create thought leadership through presenting at conferences, summits, and events, writing, user group presentations, and community involvement., • Stay abreast of technology developments relevant to Impetus and its competitors, the latest advancements in GenAI research, and industry trends, contributing to the company's GenAI strategy., • Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery.

We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The ideal candidate will have expertise in data pipeline orchestration (e.g., Airflow), data lake and warehouse architecture and development, infrastructure as code (IaC) using Terraform, and data extraction from both structured and unstructured data sources (e.g. websites). Knowledge using the Microsoft Azure ecosystem, MLOps, Kubernetes, and other modern data engineering practices. Core Responsibilities Data Architecture & Development: • Leverage best practices in schema design, partitioning, and optimisation for, • efficient storage and retrieval., • Build and maintain data models to support analytics and machine learning, • workflows., • Design and implement scalable, secure, and high-performance data lake and data, • warehouse solutions. Pipeline Orchestration: • Develop, monitor, and optimize ETL/ELT workflows using Apache Airflow., • Ensure data pipelines are robust, error-tolerant, and scalable for real-time and batch processing. Data Scraping & Unstructured Data Processing: • Develop and maintain scalable web scraping solutions to collect data from diverse sources, including APIs, websites, and other unstructured data sources., • Extract, clean, and transform unstructured data such as text, images, and log files into structured formats suitable for analysis., • Use tools and frameworks like BeautifulSoup, Scrapy, or Selenium for web scraping, and natural language processing (NLP) techniques for text processing. Cloud Integration: • Design and implement cloud-native data solutions with Microsoft Azure., • Optimize costs and performance of cloud-based data solutions. Infrastructure as Code (IaC): • Use Terraform to automate the provisioning and management of cloud infrastructure., • Define reusable and modular Terraform configurations to support scalable deployment of resources. MLOps: • Collaborate with data scientists and machine learning engineers to operationalise machine learning models., • Implement CI/CD pipelines for machine learning workflows, ensuring efficient model deployment and monitoring. Containerisation and Orchestration: • Utilize Kubernetes and containerisation technologies (e.g., Docker) to deploy scalable, fault-tolerant data processing systems., • Manage infrastructure and resource allocation for containerised data applications. Cross-Functional Collaboration: • Work closely with stakeholders, including data scientists, software engineers, and business analysts, to align technical solutions with business needs., • Mentor junior engineers and foster a culture of continuous learning within the team. Skills / Qualifications Education: • Bachelor's/Master’s/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Experience: • 5+ years of experience in data engineering or a related field., • Strong expertise in data pipeline orchestration tools such as Apache Airflow., • Proven track record of designing and implementing data lakes and warehouses (experience with Azure is a plus)., • Demonstrated experience with Terraform for infrastructure provisioning and management., • Solid understanding of MLOps practices, including model training, deployment, and monitoring., • Hands-on experience with Kubernetes and containerised environments. Technical Skills: • Proficiency in programming languages such as Python & SQL., • Experience with distributed computing frameworks such as Spark., • Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Soft Skills: • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment., • Excellent communication and documentation skills., • Strong analytical mindset with attention to detail. Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

We are seeking a Data Engineer to join our solution engineering team. Practising a hybrid model, the role will combine opportunities for both remote and on-site work. The role will expose you to working with global clients and cutting-edge data technologies. If you're passionate about data, thrive in solving complex challenges, and have experience managing workloads, we want to hear from you! About the Role We are looking for a Data Engineer, who is curious about technology and suited to using a variety of tools and frameworks to solve data related problems. The ideal candidate would have 2 years of experience in a similar role. The person should have a problem-solving mindset with a strong hands-on attitude who is looking to execute day to day tasks to support the different clients and project. The candidate would like to work in a creative and varied environment, focusing on performance, using the latest technologies. Key Responsibilities • Configure and customise Redslim tools to meet specific client requirements, developing reusable components and ensuring seamless integration with existing systems., • Design, implement, and maintain data integration code based on Python and PySpark, actively engaging in feedback loop with core product team and contributing to maintenance and evolution of Redslim tools., • Develop and implement automated workflows using Artificial Intelligence and conventional software logic., • Optimise and manage job tasks, Unity Catalog tables and other Databricks services., • Develop and execute unit and integration tests to ensure data quality and pipeline reliability., • Research, suggest, and implement best practices and usage of any relevant technology / tool in line with modern industry standards., • Oversee data governance and security, including implementing data access controls, ensuring data privacy, and adhering to company policies. What We’re Looking For: Technical Skills: o Proficient in Python and PySpark with at least 2 years of experience developing and optimizing data pipelines. Demonstrated ability to write clean, efficient, and well-documented code with experience in library-oriented development, creating reusable functions and modules. o Strong SQL skills for data querying and transformation. o Experience with Azure cloud services. o Experience with Databricks, including Delta Lake, Spark SQL, and Unity Catalog. Ability to optimize Spark jobs for performance and scalability. o Experience with Azure DevOps for CI/CD. o Knowledge of data modeling and data warehousing principles. o Experience with other data processing technologies (e.g., Snowflake, DuckDB). Desired: o Experience developing and implementing tools using AI (e.g. with Microsoft’s Agent Framework). o Familiarity with data visualization tools (e.g., Power BI, Tableau). Mindset: • Passion for continuous learning and adopting new technologies., • Exceptional communication skills and ability to collaborate across teams., • Thrives in a fast-paced, flexible environment., • Ready to occasionally travel for client and team meetings., • English is our working language. Spanish and or French would be an advantage. Why Join Us? • Fresh, Agile, Entrepreneur environment with direct and full exposure to corporate initiatives., • Full on-boarding training and on-boarding plan., • Flexible work environment within a cohesive and collaborative team., • Competitive package commensurate with experience., • Exposure to global clients and cross-functional teams. About Redslim We started in 2013, when our customers’ data journeys were at a turning point. Redslim came to life to help CPG organizations maximizing the usage of the full scope of their data assets with customized analytical tools. Offering a replicable yet flexible approach to data synchronization, our founding partners created a new space in the world of market intelligence. We’re a virtual company to offer a lean experience around remodelling data assets. Ours is a people-first culture that encourages everyone to drive change on the customer’s behalf. Not being a typical corporation, we can challenge our status quo. We succeed every day with a collaborative attitude, a quality driven approach, and transparent relationships with our partners. Find out more about us at ! If you're ready to take the next step in your data engineering career, apply today and join our team of experts!