data engineer

ai engineer

machine learning engineer

devops engineer

senior data engineer

azure data engineer

Fortnum & Mason

<div><p>Our Head Office department is in the heart of Piccadilly and occupies the 5th &amp; 6th floor of our beautiful flagship store. This central London location offers so much to explore including restaurants, bars, cultural sites, shopping and more, and only a short walk from the Green Park Tube Station and plenty of bus stops.</p><p></p><p><b><br>
Data Engineer &ndash; Azure &amp; Power BI</b></p><p>
We&rsquo;re looking for an experienced Data Engineer to design, build and support high-quality data solutions that power reporting and analytics across the business. You&rsquo;ll translate business needs into scalable technical solutions, working with tools like Azure Synapse, Data Lake, Fabric and Power BI.</p><p>
You&rsquo;ll develop ETL/ELT pipelines, data warehouses and lake solutions, while ensuring strong data quality, monitoring and performance. You&rsquo;ll also lead on BI initiatives and collaborate with stakeholders to deliver impactful insights.</p><p></p><p><b><br>
Essential skills:</b></p><ul><li><p>
5+ years in data engineering / data development</p></li><li><p>
Strong Python and SQL</p></li><li><p>
Azure Data Services (Synapse, Data Lake, Fabric, Databricks)</p></li><li><p>
Power BI reporting &amp; data modelling</p></li><li><p>
ETL/ELT pipeline development and data architecture</p></li><li><p>
Experience with APIs, Spark, and large-scale data platforms</p></li><li><p>
Real-time data, CI/CD, governance or retail experience. (Desirable)</p></li></ul><p><b>
Why Work For Us:</b></p><ul><li><p>
Competitive salary</p></li><li><p>
A generous store and restaurant discount of up to 40%</p></li><li><p>
25 days holidays (excluded bank holidays) and an extra day off for your birthday</p></li><li><p>
A fantastic subsidised staff restaurant which uses Fortnum&rsquo;s ingredients</p></li><li><p>
A range of opportunities to develop and grow personally and professionally</p></li><li><p>
Excellent pension scheme</p></li></ul><p></p><p><br>
We are committed to developing your career and nurturing your talent, regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity; race; religion or belief; sex; sexual orientation. We respect and embrace each other's differences, to create a truly inclusive environment.</p><p></p><p><br>
In the last year alone, our people have been recognised and celebrated, winning awards for their outstanding contributions to Retail, Technology, Global Hospitality &amp; Tourism, Visual Merchandising &amp; Display, Customer Service and Local Community Awards.</p></div>

Data Engineer

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> AI Data Engineer (Azure)</p><p><b>
Location: </b>London Hybrid. Travel to the London office 2 days a week</p><p><b>
Duration: </b>6 months</p><p><b>
Contract Start Date:</b> ASAP</p><p><b>
Day rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for a highly skilled <b>AI Data Engineer </b>(Contractor) specialising in <b>Azure </b>to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines <b>strong </b><b>AI/GenAI data pipeline</b><b> </b>expertise with <b>hands-on Azure, data discovery and analysis. </b>You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace.</p><p></p><p><b><br>
Deliverables: Responsibilities but not limited to:</b></p><b>
1. Data Engineering &amp; Azure Platform Delivery</b><br>
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul><b>
2. Unstructured Data &amp; NoSQL Engineering</b><ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul><b>
3. Data Discovery, Analysis &amp; Business Engagement</b><ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. <b>Collaboration &amp; Delivery</b><ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul><p></p><p><b><br>
Essential Skills and Experience</b></p><ul><li><ul><li>
Proven experience as an <b>Azure Data Engineer </b>in end-to-end data platforms</li><li>
Exposure to <b>AI/GenAI data pipelines </b>(e.g. RAG, embeddings, search)</li><li>
Knowledge of <b>Azure AI Search</b> or vector-based retrieval systems</li><li>
Strong <b>hands-on</b> experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in <b>Python</b> and <b>SQL</b></li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul><p></p><p><b><br>
Desirable:</b></p><ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - AI Data Engineer (Azure)

Nomia Ltd

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roles &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and implement data pipelines for cleaning and enriching data
  </li>
  <li>
   Be responsible for the data lake
  </li>
  <li>
   Find and curate third-party datasets
  </li>
  <li>
   Prepare data for use in experiments
  </li>
  <li>
   Design and maintain notebooks to measure the quality and completeness of data
  </li>
  <li>
   Understand real-world use cases and translate them into actionable plans
  </li>
  <li>
   Conduct experiments to validate design choices or theories
  </li>
  <li>
   Create, manage, monitor, and maintain data models
  </li>
  <li>
   Design and implement ETL processes
  </li>
  <li>
   Document all aspects of your work
  </li>
  <li>
   Stay abreast of advancements in data engineering and research new software and techniques
  </li>
  <li>
   Participate in code reviews, technical discussions, and cross-functional meetings
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About You
  </strong>
 </p>
 <ul>
  <li>
   3+ years' experience in data engineering
  </li>
  <li>
   Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
  </li>
  <li>
   Demonstrable experience designing and implementing ETL pipelines
  </li>
  <li>
   Proficient in PostgreSQL and T-SQL
  </li>
  <li>
   Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
  </li>
  <li>
   Proficient in the use of Python notebooks
  </li>
  <li>
   Experience with event-driven architecture
  </li>
  <li>
   Familiarity with LLMs and prompt engineering
  </li>
  <li>
   Proficient in writing clean, maintainable code and well-documented data pipelines
  </li>
  <li>
   Wide knowledge of different database types and designs
  </li>
  <li>
   Familiarity with data modelling techniques
  </li>
  <li>
   Genuine enthusiasm for learning new ideas and techniques
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   General
  </strong>
 </p>
 <ul>
  <li>
   Ensure compliance with Nomia's data protection and information security policies
  </li>
  <li>
   Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs
  </li>
  <li>
   Promote inclusivity, innovation, and ethical use of AI across the organisation
  </li>
  <li>
   Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Assura Protect Services

<p><b>Overview</b></p><p>We are seeking a highly skilled Azure Data / DevOps Engineer to join our dynamic team. The successful candidate will be responsible for designing, implementing, and maintaining cloud-based data solutions within the Azure environment, ensuring optimal performance and security. This role offers an exciting opportunity to work on large-scale data projects, leveraging a broad range of technologies including big data platforms, scripting languages, and database management systems. The ideal applicant will possess strong analytical skills and a proactive approach to problem-solving, contributing to the organisation&rsquo;s data-driven decision-making processes.</p><p><b>Responsibilities</b></p><ul><li>Develop and maintain scalable data pipelines and workflows using Azure Data Factory and other cloud-native tools.</li><li>Design, implement, and optimise data warehouses and data lakes in Azure, ensuring high availability and security.</li><li>Manage database systems such as Oracle, Microsoft SQL Server, and utilise database design principles for efficient data storage.</li><li>Implement automation processes using Bash (Unix shell), Shell Scripting, VBA, and other scripting languages to streamline deployment and operational tasks.</li><li>Integrate big data technologies including Hadoop, Apache Hive, Spark, and Informatica for processing large datasets.</li><li>Collaborate with cross-functional teams to develop solutions that support business analysis and reporting needs.</li><li>Monitor system performance, troubleshoot issues promptly, and ensure compliance with security standards.</li><li>Maintain documentation of system configurations, procedures, and best practices for continuous improvement.</li></ul><p><b>Experience</b></p><ul><li>Proven experience working with cloud platforms such as Azure and AWS in a Data / DevOps capacity.</li><li>Strong proficiency in programming languages including Java and Python for data processing tasks.</li><li>Hands-on experience with big data frameworks like Hadoop, Spark, Apache Hive, and related tools such as Informatica.</li><li>Extensive knowledge of SQL databases including Microsoft SQL Server and Oracle; expertise in database design is essential.</li><li>Familiarity with data warehousing concepts and architecture.</li><li>Demonstrated ability to develop automation scripts using Bash (Unix shell), Shell Scripting, VBA, with a focus on operational efficiency.</li><li>Good understanding of analysis techniques to interpret complex datasets effectively.</li><li>Prior experience working in fast-paced environments with a focus on continuous integration/continuous deployment (CI/CD) practices is desirable.</li></ul><p>This position offers an engaging environment where innovation meets technical excellence&mdash;ideal for professionals eager to advance their expertise in cloud-based data engineering and DevOps practices within a collaborative team setting.</p><p>Pay: &pound;60,000.00-&pound;95,669.20 per year</p><p>Benefits:</p><ul><li>Casual dress</li><li>Company pension</li><li>Employee stock ownership plan</li><li>Financial planning services</li><li>Health &amp; wellbeing programme</li><li>Life insurance</li></ul><p>Work Location: In person</p>

Azure Data / Dev Ops Engineer

Capgemini

<div><div><div><div><p><b>About the Job you are considering:</b></p>
<p>We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and Lakehouse solutions for a banking client.</p>
<p>The ideal candidate should have strong experience in building enterprise-grade data platforms, processing large volumes of structured and semi-structured data, and implementing secure, reliable, and high-performance data pipelines in AWS-based environments.</p>
<p><b>Hybrid working:</b></p>
<p>The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p><b>Your Role:</b></p>
<ul><li>Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI.</li>
<li>Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers.</li>
<li>Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions.</li>
<li>Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints.</li>
<li>Define architecture patterns for batch, incremental, real-time, and API-based data ingestion.</li>
<li>Design reusable data ingestion and transformation frameworks using ADF and Databricks.</li>
<li>Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data.</li>
<li>Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture.</li>
<li>Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability.</li>
<li>Design data governance, security, access control, and compliance frameworks for insurance data.</li>
<li>Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives.</li>
<li>Review technical designs, data models, ETL/ELT pipelines, and engineering implementation.</li>
<li>Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake.</li>
<li>Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams.</li>
<li>Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms.</li>
<li>Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services.</li>
<li>Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops.</li>
</ul><p><b>Your Skills:</b></p>
<ul><li>Strong hands-on experience with Databricks on AWS.</li>
<li>Strong experience with Apache Spark / PySpark.</li>
<li>Excellent programming skills in Python.</li>
<li>Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization.</li>
<li>AWS Secrets Manager &ndash; Secure secrets and credential management.</li>
<li>Amazon CloudWatch &ndash; Monitoring, logging, and alerting.</li>
<li>AWS Step Functions &ndash; Workflow orchestration, if applicable.</li>
<li>Amazon RDS / Aurora / Redshift &ndash; Source or target databases, where applicable.</li>
<li>Develop and maintain Databricks notebooks, workflows, jobs, and libraries.</li>
<li>Build reusable PySpark frameworks for ingestion, transformation, and data validation.</li>
<li>Implement Delta Lake features such as ACID transactions, schema evolution, time travel, and optimized storage.</li>
<li>Design and implement bronze, silver, and gold layers using medallion architecture.</li>
<li>Tune Databricks clusters for performance and cost optimization.</li>
<li>Monitor Databricks jobs and handle failures, retries, alerts, and job dependencies.</li>
<li>Implement job orchestration using Databricks Workflows, Airflow, AWS Step Functions, or similar tools.</li>
<li>Manage secrets, environment variables, and secure connections.</li>
<li>Support migration from legacy Hadoop/Spark platforms to Databricks on AWS, if required.</li>
</ul><p><b>'We are a Disability Confident Employer:</b></p>
<p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p>
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul><p>Please opt in during the application process.</p>
<p><b>Make It Real (what does it mean for you):</b></p>
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.</li>
<li>To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul><p><b>Why you should consider Capgemini:</b></p>
<p>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.</p>
<p><b>About Capgemini:</b></p>
<p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.</p>
<p><b>Make it real | www.capgemini.com</b></p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>The role is responsible for creating visual representations of data, concepts, ideas, or designs to facilitate understanding, communication, and decision-making. The work also involves translating complex information into visual formats that are clear, engaging, and impactful.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>The role leverages their expertise in visual communication and data visualization to help clients make informed decisions, enhance their data driven storytelling, and improve their overall visual communication strategies.</div></div></div></div></div></div></div>

AWS Databricks Engineer

Athsai

<div>
 <p>
  **Employment Type:** Permanent
 </p>
 <p>
  **Salary:** Up to &pound;75k
 </p>
 <p>
  **Location:**
  <strong>
   <em>
    in the Central London
   </em>
  </strong>
 </p>
 <p>
  <strong>
   **Work Arrangement:** In-office only, five days a week.
  </strong>
 </p>
 <p>
  ---
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Job Title:** Data Engineer
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Experience Required:** 8 Years
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Role Overview:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Key Responsibilities:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Design and implement robust real-time data pipelines from diverse sources.
 </p>
 <p>
  - Maintain a high-performance data warehouse for reporting and analytics.
 </p>
 <p>
  - Develop insightful Power BI dashboards and reports for stakeholders.
 </p>
 <p>
  - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 </p>
 <p>
  - Employ Python and SQL for data transformation and analysis.
 </p>
 <p>
  - Leverage OpenAI APIs for AI/ML solutions.
 </p>
 <p>
  - Collaborate with teams to align data strategy with business goals.
 </p>
 <p>
  - Ensure data quality, consistency, and compliance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Required Qualifications:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - 7-8 years in Data Engineering, Data Architecture, or related roles.
 </p>
 <p>
  - Experience with ETL/ELT pipelines and complex data ecosystems.
 </p>
 <p>
  - Proficiency in Python and strong SQL skills.
 </p>
 <p>
  - Familiarity wit
  <strong>
   h Azure services (Data Factory, Logic Apps, etc.).
  </strong>
 </p>
 <p>
  - Expertise in Power BI for data modeling and visualization.
 </p>
 <p>
  - Experience with OpenAI APIs or similar services.
 </p>
 <p>
  - Understanding of data warehousing and data governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Preferred Qualifications:**
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Knowledge of DevOps practices and CI/CD pipelines.
 </p>
 <p>
  - Familiarity with cloud-native data platforms (e.g., Databricks).
 </p>
 <p>
  - Understanding of data privacy regulations (e.g., GDPR).
 </p>
</div>


Data Engineer - Azure/ADF

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Who You Will Be Working With</b></h2><br>
</div><p></p><div><p>The Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.</p>
<p>We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>The Role You Are Considering</b></h2><br>
</div><p></p><div><p>As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>What You Will Bring</b></h2>
</div><div><ul><li>Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.</li>
<li>Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.</li>
<li>Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data</li>
<li>Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.</li><br>
</ul><p></p><ul><li>Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.</li>
<li>Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.</li>
<li>Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.</li>
<li>Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work</li>
<li>Minimum 10+ years of experience as a Data Engineer or similar role.</li>
<li>Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices.</li>
<li>Excellent problem-solving and analytical skills and strong communication and teamwork skills.</li><br>
</ul><p></p><p>In addition to these core skills, you should have specialist experience in one or more of the following technologies</p><br>
<p></p><p><b>Azure Databricks</b></p>
<ul><li>Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.</li>
<li>Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.</li>
<li>Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.</li>
<li>Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.</li>
<li>Azure Data Engineer Associate and Databricks Certified Data Engineer Professional</li><br>
</ul><p></p><p><b>AWS</b></p>
<ul><li>Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.</li>
<li>Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala &amp; Pyspark.</li>
<li>Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.</li>
<li>Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Further Info</b></h2><br>
</div><p></p><div><p>Security Clearance: <b>To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.</b></p><br>
<p><br>
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
</p><p>Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
<br>
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.</p>
<p>Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p>If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)</p><br>
<p><br>
<b>What we&rsquo;ll offer you</b>
</p><p>You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.</p><br>
<p></p><p><b>Why we&rsquo;re different</b></p>
<p>At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that&rsquo;s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
<br>
<br>
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.</p></div></div></div></div></div></div></div>

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