senior data engineer

HOMETRACK

<div><p>Hybrid working pattern - 2 days per week from London Bridge Office</p><p>
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.</p><p></p><p>
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.</p><p></p><p>
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.</p><p></p><p>
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.</p><p></p><p>
Hometrack is looking for an experienced senior data engineer to help us make this a reality.</p><p>
What we&rsquo;re looking for in a Senior Data Engineer:</p><ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

Few&Far

<div>
 <p>
  🚨
  <strong>
   Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
  </strong>
  🚨
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 </p>
 <p>
  <br/>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;525 per day
  </strong>
 </p>
 <p>
  📍
  <strong>
   London - 1 day per week onsite
  </strong>
 </p>
 <p>
  📄
  <strong>
   Outside IR35
  </strong>
 </p>
 <p>
  ⚡
  <strong>
   1-stage interview process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll be working on:
 </p>
 <p>
  ✅ Modernising data lake &amp; data warehouse architecture
 </p>
 <p>
  ✅ Designing, building and optimising ETL/ELT pipelines
 </p>
 <p>
  ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 </p>
 <p>
  ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 </p>
 <p>
  ✅ Writing high-performance SQL and production-quality Python
 </p>
 <p>
  ✅ Improving platform reliability, monitoring and CI/CD
 </p>
 <p>
  ✅ Collaborating with stakeholders to deliver scalable data solutions
 </p>
 <p>
  ✅ Mentoring junior engineers through code reviews and best practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <p>
  ☁️ AWS
 </p>
 <p>
  🐍 Python
 </p>
 <p>
  🗄️ SQL
 </p>
 <p>
  🔄 Airflow (AWS)
 </p>
 <p>
  📊 Looker (nice to have)
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm keen to speak with Data Engineers who have:
 </p>
 <p>
  ✔️ Strong experience building production-grade data pipelines
 </p>
 <p>
  ✔️ Advanced SQL and Python skills
 </p>
 <p>
  ✔️ Experience deploying and supporting ML models in production
 </p>
 <p>
  ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 </p>
</div>


Neal's Yard Remedies

Love SQL, DBT, ETL and WMS?
<br>Love an abbreviation?
<br>We do too!
<br>You'll be a tech wizard with previous experience within a Retail business. You'll loves data and can extract, formulate, and manipulate data to create insightful reports to tell the right stories and set business focus. You will be an enabler for Neals Yard Remedies, harnessing the power of technology to drive insight, innovation and impact. You'll help shape our future data landscape, building the infrastructure and tools to empower our teams to make bold data led decisions.
<br>With a laser focus on the reliability, stability and continuous improvement of our data and integration landscape, you'll support critical systems that underpin retail, distribution and operational processes. You'll maintaining and enhance data pipelines, integrations and platform capabilities that enable the business to operate effectively every day.
<br>Working across data engineering and systems integration, you'll help drive best practice, improve documentation, strengthen platform resilience and support the business through reliable, trusted data and connected systems.
<br>Forward thinking in your approach, you'll help design and deploy scalable data solutions to help unlock opportunities, aligned with our strategic objectives, including building ETL pipelines, whilst collaborating across departments to ensure data is easily accessible.
<br>You'll enjoy assisting teams in a true partnering capacity, comfortable challenging where necessary, using your excellent communication skills to effectively communicate technical information to non-technical personnel. You'll have the ability to directly influence and support commercial decision making.
<br>You'll join a fast paced and fun environment, where no two days are the same, playing a critical role in managing our data story and delivering real value. Our working culture has the perfect mix of responsibility and ownership, balanced with support and encouragement. You'll have freedom in this role to carve your own path, but with the safety net of a knowledgeable and supportive wider Technology Team.
<br><br>
We are open to applications from a Senior Data/ Software Engineer or someone ready to make the next step in their career. Passion for what you do is paramount, as we believe in you, to do what you do well, in our beautifully unique environment.
<br><br>
<b>What you'll have:</b><br>
Strong hands-on experience with Snowflake in a production environment
<br>Experience working with Netsuite and supporting ERP integrations, is an advantage
<br>Advanced SQL skills and experience developing data transformation solutions using dbt
<br>Experience working with Jitterbit or a comparable iPaaS integration platform
<br>Knowledge of Shopify integrations and eCommerce systems
<br>Strong understanding of FTP/SFTP protocols and file transfer configuration
<br>Experience supporting enterprise data and integration platforms in a live operational environment
<br>Experience working with EDI integrations and data exchange processes
<br>Understanding of warehouse management system (WMS) integrations would be beneficial
<br>Knowledge of JavaScript and HTML is desirable
<br><br>
<b>What you'll get:</b><br>
Generous employee discount
<br>Casual dress
<br>Company pension
<br>Long service benefits
<br>Paid community days
<br>25 days annual leave plus Bank Holidays
<br>Employee Assistance Programme

Senior Data / Software Engineer

comply

<div><div><b>Who Are We:</b></div><div></div><div><b><br>
Comply</b> is the leading provider of compliance SaaS and consulting services for the global financial services sector. With more than 5,000 clients and hundreds of employees across the globe, Comply empowers Chief Compliance Officers and their teams to proactively manage regulatory obligations, mitigate risk, and scale with efficiency and confidence.</div><div></div><div><b><br>
Comply </b>serves thousands of global financial services clients including broker-dealers, insurers, investment banks, private funds, RIAs, and wealth managers who rely on Comply offerings to power their compliance programs.</div><div></div><div><br>
To learn more about Comply, visit comply.com</div><div></div><div><b><br>
The Role:</b></div>
<div></div>
<div>We are looking for Senior AI Data Engineers to implement and operationalize Comply&rsquo;s semantic layer &mdash; turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a new team being created to enable future data capabilities in relation to our AI ambitions.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:
</b></h3><div>Semantic Layer Implementation</div>
<ul><li>Implement JSON-LD-based semantic models designed by the ontologist into production data systems</li>
<li>Build and maintain knowledge graph structures that reflect canonical domain models &bull; Develop and manage graph database schemas, queries, and data ingestion pipelines</li>
<li>Ensure semantic consistency between ontology definitions and downstream data product</li>
</ul><div>AI &amp; Vector Infrastructure</div>
<ul><li>Design and implement embedding pipelines that represent Comply&rsquo;s financial and regulatory data in<br>
vector space</li>
<li>Build and operate vector database infrastructure for semantic search and similarity retrieval</li>
<li>Implement RAG (Retrieval-Augmented Generation) architectures that ground LLM outputs in Comply&rsquo;s<br>
proprietary data</li>
<li>Evaluate and integrate LLM tooling and frameworks appropriate to Comply&rsquo;s use cases</li>
</ul><div>Data Pipeline &amp; Platform Engineering</div>
<ul><li>Build reliable, observable data pipelines that feed the semantic layer from upstream broker and<br>
regulatory data sources</li>
<li>Apply DataOps practices including testing, monitoring, lineage tracking, and SLAs</li>
<li>Work with Data Engineers and Backend Engineers to embed semantic models into APIs and data contracts</li>
<li>Ensure the semantic layer scales with data volume and platform growth</li>
</ul><div>Collaboration &amp; Enablement</div>
<ul><li>Partner closely with the Ontologist to ensure implemented models faithfully reflect domain intent</li>
<li>Support consuming application teams in understanding and adopting AI-ready data products</li>
<li>Contribute to resolving cross-domain data integration challenges</li>
</ul><h3 class="jobSectionHeader"><b>Skills and Qualifications:
</b></h3><ul><li>Strong hands-on experience in data engineering, with a focus on semantic or AI data infrastructure</li>
<li>Experience building and operating knowledge graphs or graph databases (e.g. Jena Fuseki, Neo4j, Amazon<br>
Neptune, or equivalent)</li>
<li>Experience with vector databases and embedding pipelines (e.g. Pinecone, Weaviate, Qdrant, pgvector)</li>
<li>Practical experience implementing RAG architectures or LLM-integrated data pipelines</li>
<li>Familiarity with semantic web standards &mdash; JSON-LD, RDF, OWL, or SKOS</li>
<li>Strong Python skills and experience with data pipeline frameworks</li>
<li>Experience with cloud-native data platforms (AWS, Azure, or GCP)</li>
<li>Exposure to domain-driven design (DDD) and bounded contexts is desirable.</li>
<li>Experience working directly with ontologists or knowledge engineers is a plus.</li>
<li>Familiarity with data contracts and data product frameworks is a plus.</li>
<li>Experience with DataOps tooling, data reliability, or data observability platforms is desirable.</li>
<li>Background in financial services, RegTech, or compliance data is a plus.</li>
</ul><div><b>To learn more about our values, mission and the wide-range of perks offered to employees at Comply, visit </b><b>https://www.comply.com/careers/</b><b>.<br>
</b></div><div></div><br>
<div>Comply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.</div><div>
</div><div>
Applicants must be authorized to work for any employer in the United Kingdom. Currently, we are unable to sponsor or take over sponsorship of an employment Visa at this time.</div><div>
</div><div>
Comply is aware of scammers posing as Comply employees and extending job offers via direct messaging, texts and social media platforms. These are fraudulent and should be treated as such. To learn more about this, please review our Statement of Fraudulent Job Offers.</div><div></div><p><br>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
</p><p>As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology.</p>
<p>Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus
<br>
on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending,
<br>
customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs.<br>
<br>
</p><div><b>Job responsibilities
</b><br>
<ul><li>Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the
</li></ul>latest technologies and the best industry practices
<br>
<ul><li>Use domain modelling techniques to allow us to build best in class business
</li></ul>products.
<br>
<ul><li>Structure software so that it is easy to understand, test and evolve.
</li><li>Build solutions that avoid single points of failure, using scalable architectural
</li></ul>patterns.
<br>
<ul><li>Develop secure code so that our customers and ourselves are protected from
</li></ul>malicious actors.
<br>
<ul><li>Promptly investigate and fix issues and ensure they do not resurface in the future.
</li><li>Make sure our releases happen with zero downtime for our end-users.
</li><li>See that our data is written and read in a way that's optimized for our needs.
</li><li>Keep an eye on performance, making sure we use the right approach to identify
</li></ul>and solve problems.
<br>
<ul><li>Ensure our systems are reliable and easy to operate.
</li><li>Keep us up to date by continuously updating our technologies and patterns.
</li><li>Support the products you've built through their entire lifecycle, including in
</li></ul>production and during incident management<br>
<br>
</div><div><b>Required qualifications, capabilities &amp; skills</b><br>
<ul><li>Formal training or certification on data engineering concepts and applied
</li></ul>experience
<br>
<ul><li>Recent hands-on professional experience as a data engineer
</li><li>Experience in coding in a recent version of the Python programming language
</li><li>Experience in designing and implementing effective tests (unit, component,
</li></ul>integration, end-to-end, performance, etc.)
<br>
<ul><li>Excellent written and verbal communication skills in English
</li><li>Experience with cloud technologies and distributed systems
</li><li>Experience with data transformation frameworks and data pipeline orchestration
</li></ul>tools
<br>
<ul><li>Experience with managing large volumes of data and optimizing data processing
</li><li>Understanding of event-base architecture, data streaming and messaging
</li></ul>frameworks
<br>
<ul><li>Coach other team members on coding practices, design principles, and
</li></ul>implementation patterns that lead to high-quality maintainable solutions.
<br>
<ul><li>Manage stakeholders and effectively prioritize work across multiple work
</li></ul>streams.<br>
<br>
</div><div><b>Preferred qualifications, capabilities &amp; skills
</b><br>
<ul><li>Experience in working in a highly regulated environment / industry
</li><li>Experience with AWS cloud technologies
</li><li>Experience with data governance frameworks
</li><li>Understanding of incremental data processing and versioning
</li><li>Understanding of RESTful APIs and web technologies<br>
</li></ul></div><p></p><p>#ICBEngineering #ICBCareers</p>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Lead Data Engineer — International Consumer Bank (Chase UK)

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact.</p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

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360 senior data engineer jobs In London

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Junior Analytics Engineer