data modeler

The Law Society

<div></div><div><div><div><div><div><p>Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability.</p>
<p>
In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation.</p>
<p>
Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes.</p>
<p>
This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.</p>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What we're looking for</b></h2></div>
</div></div><div><div><div><div><p>We're looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:</p>
<ul>
<li>Strong SQL skills and experience designing reliable, scalable and maintainable data models, optimised for BI tools such as Power BI.</li>
<li>Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms.</li>
<li>Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory.</li>
<li>An understanding of data governance, data lineage and data quality principles.</li>
<li>The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.</li>
<li>A proactive, collaborative approach with a commitment to continuous improvement.</li>
</ul>
<p><b>Desirable skills include:</b></p>
<ul>
<li>Experience using Git and Python.</li>
<li>Experience working within Agile delivery environments.</li>
<li>Relevant cloud or data certifications.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>What's in it for you</b></h2></div>
</div></div><div><div><div><div><p>This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation.</p>
<p>
At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect.</p>
<p>
We offer:</p>
<ul>
<li>Hybrid working.</li>
<li>A generous and flexible benefits package.</li>
<li>A supportive and collaborative working environment.</li>
<li>Excellent opportunities for learning, development and career progression.</li></ul><br>
<p>
<br>
<i>Please note: i</i><i>f you are an internal applicant, Pay Policy will apply.</i><br>
</p><p><b>The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.</b></p></div></div></div></div></div>

Analytics Engineer

NOMIA

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

Data Engineer

JaJa Finance Ltd

<div><p><b>About Jaja</b></p>
<p><b>
Our Mission: </b>Empowering our customers to buy, borrow, and build&mdash;driven by tech, fuelled by data, and built for the future.</p>
<p><b>
Our Company Values</b>: Care Deeply, Adapt &amp; Thrive, Challenge everything, Go for it! Own it, Make it Simple</p><p></p><p><br>
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making.</p><br>
<p>
We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as we say it, Make Simple.</p><br>
<p>
We will delight our customers &ndash; making the customer experience simpler, more enjoyable, more intelligent &ndash; treating customers fairly and giving them more control of their money.</p><p></p><p><b><br>
Why Join Us?</b></p>
<p>
This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.</p>
<p>
We have a collaborative team structure fueled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself!</p><p></p><p><b><br>
About The Role</b></p>
<p>
This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team&rsquo;s delivery.</p><br>
<p></p>
<p><b>
Key responsibilities</b></p>
<ul>
<li>Supporting the delivery of new data models in a modern technology stack</li>
<li>Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions</li>
<li>Developing existing data models in line with product and engineering</li>
<li>Upholding the data governance standards</li>
<li>Supporting the BI and Analytics teams with key data sources required for their deliveries</li></ul><br>
<p></p>
<p><b>
About You</b></p><br>
<p><b>
Essential</b></p>
<ul>
<li>SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake</li>
<li>Using transformation tools, we use Coalesce.io but DBT would also set you up for success</li>
<li>Modelling structured and unstructured data</li>
<li>Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up</li>
<li>Strong problem solving and attention to detail</li>
<li>Excellent communication and collaboration skills</li></ul><br>
<p></p>
<p><b>
Desired</b></p>
<ul>
<li>Experience with data quality frameworks</li>
<li>Familiarity with finance, credit and associated reporting</li>
<li>Experience of working with Product and Engineering teams</li>
<li>Knowledge of testing standards and version control</li>
<li>Experience with orchestration</li></ul><p><br>
<br>
</p><p></p><br>
<p><b>What's in it for you?</b></p>
<ul>
<li>The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever</li>
<li>Competitive salary</li>
<li>Pension contributions, including Salary Exchange facility</li>
<li>Annual bonus potential</li>
<li>Private medical cover provided by Vitality (optional benefit)</li>
<li>25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).</li>
<li>Your birthday off each year as an additional day's holiday</li>
<li>4x life insurance cover</li>
<li>Access to our confidential Employee assistance programme</li></ul></div>

Capitex

<p></p><div><p><b>PROGRAMME CONTEXT</b></p><p>
</p><p>Capitex is sourcing specialist resource into the Data workstream of a live Fenergo (Fenx) CLM implementation. The programme is delivering client lifecycle management, KYC/CDD and onboarding capability for a regulated financial institution, with the Data workstream responsible for migrating and validating client, entity and due-diligence data into the Fenergo platform.</p><p>
This role provides hands-on data depth alongside the configuration and testing workstreams, ensuring migrated data is complete, accurate and fit to drive the configured rules, risk scoring and lifecycle journeys.</p><p>
</p><p><b>ROLE OVERVIEW</b></p><p>
</p><p>The Data Analyst owns source-to-target data mapping, migration and validation activity &mdash; translating legacy and golden-source client/entity data into the Fenergo data model and proving its integrity end-to-end. The role works closely with configuration/BA, testing and client-side data owners to deliver clean, reconciled, audit-ready data.</p><p>
</p><p><b>KEY RESPONSIBILITIES</b></p><p>
</p><ul><li>Define and document source-to-target data mapping from legacy systems and golden sources into the Fenergo CLM / entity data model.</li><li>Author data mapping specifications and transformation rules; maintain mapping documentation as requirements evolve.</li><li>Support and execute data migration (ETL) of client, entity, KYC/CDD and supporting document data into Fenergo.</li><li>Design and run data validation and reconciliation &mdash; pre- and post-migration &mdash; including exception handling and remediation.</li><li>Profile source data quality; identify gaps, duplicates and anomalies and drive resolution with data owners.</li><li>Ensure migrated data correctly supports configured risk rules, scoring and workflow triggers, liaising with the configuration workstream.</li><li>Produce data quality metrics, reconciliation evidence and audit-ready sign-off artefacts for stakeholders.</li></ul><p>
</p><p><b>ESSENTIAL EXPERIENCE</b></p><p>
</p><ul><li>Hands-on data migration / mapping experience on a Fenergo (CLM) implementation.</li><li>Strong source-to-target data mapping and ETL experience on enterprise platform migrations.</li><li>Advanced SQL; confident profiling, validating and reconciling large datasets.</li><li>KYC / CDD / AML data domain knowledge &mdash; client and entity data structures, risk and due-diligence attributes.</li><li>Demonstrable data validation, reconciliation and data-quality discipline on regulated programmes.</li></ul><p>
</p><p><b>DESIRABLE</b></p><p>
</p><ul><li>Banking / Corporate &amp; Institutional Banking or Private/Wealth experience.</li><li>Experience with golden-source / master-data and entity-resolution concepts.</li><li>Oracle / SQL Server, and ETL tooling (e.g. SSIS, DataStage or equivalent).</li><li>SC clearance (or eligibility).</li><li>Exposure to Fenergo rules / event-based messaging and the wider CLM ecosystem.</li></ul><p>
</p><p><b>TOOLS &amp; TECHNICAL ENVIRONMENT</b></p><p>
</p><p>Fenergo CLM, SQL (Oracle / SQL Server), ETL tooling, data profiling and reconciliation tools, JIRA / Confluence; Agile (Scrum / Kanban) delivery environment.</p></div>

Fenergo CLM Data Analyst / Migration Specialist

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

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)

NTT DATA

<div><p>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.</p>
<p>Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.</p>
<p>For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA</p>
<p><b>Primary Responsibilities:</b></p>
<ul><li><p>Client Engagement &amp; Delivery</p>
</li><li><p>Data Pipeline Development (Batch and Streaming)</p>
</li><li><p>Snowflake &amp; Cloud Data Platforms</p>
</li><li><p>Data Architecture &amp; Modelling</p>
</li><li><p>Collaboration &amp; Best Practices</p>
</li><li><p>Quality, Governance &amp; Security</p><br>
</li></ul><p></p><p><b>Business Relationships:</b></p>
<ul><li><p>Solution Architects</p>
</li><li><p>Data Engineers, Developers, ML Engineers and Analysts</p>
</li><li><p>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</p>
</li></ul><p><b>Competencies / Critical Skills:</b></p><br>
<p></p>
<ul><li><p>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</p>
</li><li><p>Strong consulting values with ability to collaborate effectively in client-facing environments.</p>
</li><li><p>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</p>
</li><li><p>Strong problem-solving, analytical, and communication skills.</p>
</li><li><p>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</p><br>
</li></ul><p></p><p><b>Technical Expertise:</b></p>
<ul><li><p>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</p>
</li><li><p>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</p>
</li><li><p>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</p>
</li><li><p>Hands-on experience with cloud platforms (AWS, Azure, GCP).</p>
</li><li><p>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</p>
</li><li><p>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</p>
</li><li><p>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</p>
</li><li><p>Understanding of data governance, security, and compliance frameworks.</p>
</li><li><p>Exposure to AI/ML workloads desirable.</p><br>
</li></ul><p></p><p><b>Experience, Qualifications, and Education:</b></p>
<ul><li><p>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.</p>
</li><li><p>Education: University degree required.</p>
</li><li><p>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</p>
</li><li><p>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</p><br>
</li></ul><p></p><p><b>Measures of Success:</b></p>
<ul><li><p>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</p>
</li><li><p>High client satisfaction and successful adoption of Snowflake-based solutions.</p>
</li><li><p>Demonstrated ability to innovate and improve data engineering practices.</p>
</li><li><p>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</p>
</li></ul><p>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.</p>
<p>You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/</p>
<p>We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.</p>
<p>We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.<br>
<br>
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</p></div>

Snowflake Data Engineer

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307 data modeler jobs In London

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