data engineering specialist

Genpact

<div>Data Engineer<p></p><p><b>
Ready to turn bold ideas into real-world impact?</b><br>
 At Genpact, we don&rsquo;t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we&rsquo;re at the forefront of it. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
<br>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
<br>
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world&rsquo;s leading enterprises.<br>
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.</p><p></p><p><b>
Job Description</b></p>
Responsibilities: 1. Develop and implement data ingestion processes; 2. Design and optimize data storage and retrieval solutions; 3. Build and maintain ETL processes to transform and load data into data lake/warehouse; 4. Collaborate with data scientists and analysts to understand data requirements and deliver relevant datasets; 5. Troubleshoot and resolve data-related issues; 6. Ensure data quality and integrity in the data pipelines; 7. Research and evaluate new data technologies and tools for continuous improvement.<p></p><p><b>
Qualifications</b></p>
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science<p></p><p><b>
Certifications</b></p>
Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle<p></p><p><b>
Required Skills</b></p>
Agile Methodology, Banking Capital Markets, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling<p></p><p><b>
Language</b></p>
English<p></p><p><b>
Language Proficiency -
</b></p>Proficient - C2<p></p><p><b>
Additional Job Location -
</b></p><p></p><p><b>Job Type</b></p>
Regular<p></p><p><b>
Master Skill List -
</b></p>Data Engineering<p></p><p><b>
Remote Type -
</b></p>Hybrid<p></p><p><b>
Work Shift -
</b></p>Flex Time (India)<p></p><div><b>
Why join Genpact?</b><br>
<ul><li><b>Lead AI-powered transformation</b> &ndash; Drive innovation and solve real-world business challenges that matter</li><li><b>Make an impact </b>&ndash; Help global enterprises solve business challenges that matter</li><li><b>Accelerate your career</b> &ndash; Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead</li><li><b>Work with the best</b> &ndash; Join 140,000+ bold thinkers and problem-solvers who push boundaries every day</li><li><b>Thrive in a values-driven culture</b> &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
<br>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
<br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div>

Data Engineer - Data Engineering 4A

Arcadis

<p></p><div><p>Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.</p>
<p>
We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.</p>
<p><b>
Role description:</b></p>
<div>
Arcadis is seeking a <b>Senior Data Engineer </b>to design, develop, and optimise enterprise-scale data solutions that support major projects, programmes, and business functions.
</div><div>As a technical specialist within multidisciplinary teams, you will lead the delivery of robust, scalable, and secure data platforms, pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions.
</div><div>The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security.
</div>
<p><b>Role accountabilities:</b></p>
<ul>
<li>Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources.</li>
<li>Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions.</li>
<li>Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making.</li>
<li>Establish and apply data quality, validation, and assurance frameworks to ensure the accuracy, completeness, and reliability of data assets.</li>
<li>Collaborate with project teams, business stakeholders, analysts, and digital specialists to define and deliver data requirements.</li>
<li>Drive continuous improvement through automation, process optimisation, and adoption of industry best practices.</li>
<li>Ensure compliance with Arcadis standards relating to information management, data governance, cyber security, and data privacy.</li>
<li>Troubleshoot and resolve complex data-related issues, providing technical expertise and guidance to project teams.</li>
<li>Produce and maintain technical documentation, architecture diagrams, standards, and operational procedures.</li>
<li>Support the development of junior team members through mentoring, knowledge sharing, and technical leadership.</li>
<li>Contribute to the development of organisational data engineering standards, frameworks, and reusable solutions.</li>
<li><div>Support solution architecture, platform design, and strategic data initiatives across programmes and business functions.
</div></li></ul><p><b>Qualifications &amp; Experience:</b></p>
<div>
<b>Essential Experience</b>
</div><ul><li>Demonstrable experience delivering data engineering solutions within complex project, programme, or enterprise environments.</li>
<li>Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms.</li>
<li>Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms.</li>
<li>Strong understanding of data modelling, database design, metadata management, and data architecture principles.</li>
<li>Experience implementing data quality, governance, and assurance practices.</li>
<li>Experience supporting reporting, analytics, and business intelligence solutions.</li>
<li>Understanding of information security, cyber security, and data protection requirements within enterprise environments.</li>
<li>Experience working directly with stakeholders to gather requirements and translate them into technical solutions.</li>
<li>Ability to manage competing priorities and deliver high-quality outputs within project timescales.</li>
</ul><div><b>Desirable Experience</b>
</div><ul><li><div>Experience within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments.
</div></li><li>Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices.</li>
<li><div>Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies.
</div></li><li><div>Information Management in a complex construction or infrastructure project/programme
</div></li><li>Experience developing enterprise data products and supporting AI or advanced analytics initiatives.</li>
</ul><div><b>Education / Background</b>
</div><div>One or more of the following:
</div><ul><li>Degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or related discipline.</li>
<li>Professional certifications in Microsoft Fabric, Azure Data Engineering, Data Management, or equivalent.</li>
<li>Equivalent demonstrable experience delivering complex data engineering solutions.</li>
</ul><div><b>Key Competencies</b>
</div><ul><li>Strong analytical and problem-solving capability.</li>
<li>Technical leadership and mentoring skills.</li>
<li>Excellent stakeholder engagement and communication skills.</li>
<li>Ability to influence data management best practice across teams.</li>
<li>Continuous improvement mindset with a focus on automation and innovation.</li>
<li>Commitment to quality, sustainability, and secure data practices.</li>
</ul>
<p>Why Arcadis?</p>
<p>
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.</p>
<p>
You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.</p>
<p>
Together, we can create a lasting legacy.</p>
<p>
Join Arcadis. Create a Legacy.</p>
<p>
Our Commitment to Equality, Diversity, Inclusion &amp; Belonging</p>
<p>
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&amp;I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.</p></div><p></p>

Senior Data Engineer

The AF Group Ltd.

<p><b>Description</b></p><p>We are looking for a Data Engineer to build the data foundations that help our Members save time and money through evidence-based decision-making and the digitalisation of current procedures. Using AF&rsquo;s purchasing and supplier data, you will turn complex, multi-source information into reliable, trusted datasets that support better reporting and insight across the business.</p><p>This role will focus on integrating data from separate systems, building reliable ELT/ETL pipelines, and designing and maintaining a well-structured data warehouse. You will normalise, model and quality-assure data so colleagues can make decisions with confidence.</p><p>Working across AF&rsquo;s purchasing and supplier systems and our cloud platform, you will transform messy, siloed data into clean, conformed and documented datasets that feed reporting in Power BI or Tableau.</p><p>Applicants must have the right to work in the UK. Sponsorship is not available for this role.</p><p><b>In this role, you will:</b></p><ul><li>Manage batch, near-real-time and transactional data ingestion, including incremental loads, scheduling and dependencies.</li><li>Build resilient pipelines with effective error handling, logging and alerting so issues are identified early.</li><li>Transform raw data into clean, well-modelled layers, applying normalisation and denormalisation where appropriate.</li><li>Build reusable and tested transformation logic using tools such as SQL, Python, dbt or equivalent frameworks.</li><li>Clean, standardise, deduplicate and reconcile data across multiple systems, including supplier and product entity resolution.</li><li>Standardise units, categories, reference data and master data so spend, and supplier information can be analysed consistently.</li><li>Implement automated data-quality checks and validation before data reaches reporting and decision-making.</li><li>Promote high standards of data quality, lineage, cataloguing, security, access control and responsible use of data and AI.</li><li>Collaborate with procurement, finance, risk and member services teams to understand business needs and translate them into robust datasets, pipelines and models.</li></ul><p><b>About You</b></p><p>We&rsquo;re looking for someone with experience in a similar data engineering role, a genuine interest in data, and a desire to make a practical difference.</p><p>You will bring strong technical capability alongside a collaborative, delivery-focused approach, alongside:</p><ul><li>Advanced SQL skills, including complex queries, joins, window functions and CTEs, with the ability to diagnose and tune slow-running queries.</li><li>Experience designing, building and maintaining reliable, repeatable and monitored ELT/ETL pipelines.</li><li>Strong understanding of data modelling and warehouse design, including dimensional modelling, normalisation and sensible denormalisation.</li><li>Python skills for data engineering, including clean, reusable code for data processing, transformation and automation.</li><li>Experience cleaning, deduplicating and reconciling data, including entity resolution across supplier and product records.</li><li>Confident using version control and working with disciplined, documented engineering practices.</li><li>Clear and effective communication skills, with the ability to explain technical information to both technical and non-technical colleagues.</li><li>A pragmatic, delivery-focused mindset with ownership, curiosity and the confidence to work through ambiguity.</li><li>A collaborative and proactive approach, with a commitment to excellent customer service and AF&rsquo;s core values.</li></ul><p><b>Why work with us?</b></p><p>We want AF to be somewhere people enjoy coming to work, feel valued and have the opportunity to thrive. We recognise the contribution our people make and offer a range of benefits designed to support you both at work and outside of it:</p><ul><li>Salary up to &pound;45,000 per annum</li><li>8% employer pension contribution</li><li>26 days holiday per annum, plus bank holidays. This rises with each year&rsquo;s service by an additional day, up to 4 extra days</li><li>Have your birthday off as an extra day&rsquo;s holiday, if it falls on your working day</li><li>Free lunch daily from our onsite Caf&eacute;</li><li>AF Membership (giving discounts at hundreds of retailers and suppliers)</li><li>Life assurance (2 x salary)</li><li>Private Health Insurance (available as an optional employee-paid benefit)</li><li>Discounted gym membership</li><li>Cycle to work scheme</li><li>Salary Sacrifice car scheme</li><li>Hybrid working (1 day working from home per week)</li><li>Free onsite parking</li></ul><p>Pay: Up to &pound;45,000.00 per year</p><p>Application question(s):</p><ul><li>Can you commute to our office in NR8 5BZ? Own transport is essential as we are not on a public transport route.</li><li>Do you have a qualification in Computer Science, Software / Data Engineering or Mathematics?</li></ul><p>Education:</p><ul><li>Bachelor's (required)</li></ul><p>Licence/Certification:</p><ul><li>UK drivers license (required)</li></ul><p>Work authorisation:</p><ul><li>United Kingdom (required)</li></ul><p>Work Location: In person</p>

Data Engineer

Warwickshire County Council

<div><div><div>Salary</div><div>
&pound;41,771 to &pound;44,075 per annum</div></div><div><div>
Contractual hours</div><div>
37</div></div><div><div>
Basis</div><div>
Full time</div></div><div><div>
Region</div><div>
Warwick</div></div><div><div>
Package</div><div>
Permanent</div></div><div><div>
Job category/type</div><div>
Information Management / Governance, Information Technology</div></div><div><div>
Date posted</div><div>
25/08/2026</div></div><div><div>
Job reference</div><div>
RA0008022</div></div></div>
<br><div><p>About the Team</p>
<p>
Warwickshire County Council is looking for a Data Engineer to help shape how data supports services, communities and decision-making at a time of major change for local government. As Warwickshire prepares for the creation of two new unitary authorities in April 2028, reliable, well-designed data pipelines, integrations and analytical platforms will be essential. This role sits at the heart of that work: maintaining the systems services rely on today while helping us modernise how we manage, join, share and use data for the future.</p>
<p>
At the same time, the role of a data engineer is evolving. Alongside maintaining and improving the data pipelines, databases and integrations on which our services rely, we are beginning to explore new ways of working. These include preparing for a future migration to Microsoft Fabric, making greater use of cloud-based data services, strengthening our use of Git, source control and modern development practices, and exploring how AI-assisted development can help us work more effectively.</p>
<p>
You will join a friendly and experienced multidisciplinary team working across data engineering, property information and GIS. Our work ranges from supporting operational and statutory services to developing innovative projects such as new web maps and dashboards to help people find, understand and use information about Warwickshire.</p>
<p>
About the Role</p>
<p>
You may already be working in data engineering, but you could also be a recent graduate, an apprentice completing your training, or someone looking to move into data engineering from software development, analytics, GIS or another technical field.</p>
<p>
We do not expect you to have experience of every technology we use. If you have practical experience of using a scripting or programming language, building or orchestrating data pipelines, or cleaning and transforming complex data, we encourage you to apply. Your experience may have been gained through employment, education, a placement, an apprenticeship or substantial project work. What matters most is that you can demonstrate sound technical foundations, an aptitude for solving data problems, a willingness to learn and the potential to develop quickly. In your application, please give us an example of a data or automation problem you have tackled, explain the approach and tools you used, and describe your own contribution. You will have flexibility in how and where you work, and the support of a friendly multidisciplinary team working across data engineering, property information and GIS.</p>
<p>
Key Requirements</p>
<ul>
<li>The ability to extract, transform and query data using SQL, Python or other ETL (Extract, Transform and Load) tools</li>
<li>The technical capacity to design and build M and DAX queries within Microsoft Power BI</li>
<li>Experience of managing complex datasets within a recognised database environment (preferably PostgreSQL/PostGIS) and/or a cloud storage facility (such as a Lakehouse, Delta Lake or Data Lake solution)</li>
<li>Excellent organisational skills and the ability to manage competing priorities</li>
<li>Experience of using GIS systems, such as ArcGIS, ArcGIS Online, or QGIS</li>
<li>Experience of using Git or another version-control system</li>
</ul>
<p>For further information please see the Job Description and Person Specification.</p>
<p><b>
Working for Warwickshire &ndash; </b><b><i>This is the difference you make</i></b></p>
<p>
Warwickshire County Council is a place where everyone feels valued, included, safe, supported, and welcome. Our people are at the heart of this vision, could you be one of them!</p>
<p>
At Warwickshire County Council we are committed to ensuring Warwickshire&rsquo;s economy is vibrant and supported by the right jobs, training, skills and infrastructure. Our people vision for Warwickshire County Council is a great place to work where diverse and talented people are enabled to be their best.
</p><p>Your future matters to us, we provide a generous pension scheme which includes an employer contribution rate of typically around 19 percent per month, to help support your financial security during retirement. The scheme also offers a valuable package of benefits for members and their dependants. To find out more please visit: Warwickshire Pension Fund homepage &ndash; Warwickshire Pension Fund'
</p><p>The benefits we offer include agile working, a valuable part of the pay and reward package for employees working in local government, generous annual leave entitlement, plus bank holidays and an additional day at Christmas, and access to Vivup benefits and discounts platform.</p><br>
<p></p>
<p><b>
Additional Information</b></p>
<p>
We recommend submitting your application as soon as possible. We don't want to keep you waiting so we will be starting the initial shortlist and assessment process while the job advert is running. Please check your emails or applicant account via our jobs portal for any updates on your application</p>
<p>
To discuss the role please contact Paul Larcombe, Data Engineering &amp; GIS Manager at paullarcombe@warwickshire.gov.uk</p>
<p>
Closing date: 22nd September 2026<br>
Interview date: 28Th September 2026</p>
<p>
Should you require application forms in an alternative format / language or any adjustments to be made throughout the application process or upon appointment, please contact hrandpayroll@warwickshire.gov.uk and we will make every effort to meet your specific requirements.</p>
<p><b>
Warwickshire County Council is committed to equality of opportunity for all employees and is keen to address areas of under representation in its workforce.</b></p></div><p></p>

Verisk

<div><div><p>At Verisk, we empower businesses around the world with data, analytics, technology, and deep domain expertise. Our solutions help customers manage risk, improve performance, and make confident decisions in complex environments.
</p><p>Within <b>Verisk General Insurance UK </b>, we provide market-leading data and analytics solutions that support insurers, brokers, and industry partners. Our datasets span property, motor insurance, fraud prevention, and claims, helping customers better understand risk and improve outcomes.
</p><p>We're looking for a <b>Data Engineer </b>to join our Norwich-based team and play a key role in delivering customer-facing data solutions. This is an opportunity to work directly with valuable insurance datasets, lead proof-of-concept initiatives, and help shape the way data is delivered, automated, and scaled across the business.
</p><p><b>Why this role?
</b></p><p>This role offers a unique combination of data engineering, customer impact, and technical ownership.
</p><p>You'll be trusted to lead underwriting proof-of-concept projects that help customers evaluate the value of Verisk data before making commercial decisions. Your work will directly influence customer outcomes, product adoption, and future business opportunities.
</p><p>You'll also have the opportunity to improve and automate existing processes, work with modern cloud technologies, and expand your expertise across a broad range of data engineering activities.
</p><p>What makes this role different:
</p><ul><li>Own customer proof-of-concept projects from end to end
</li></ul><ul><li>Work with large-scale property and insurance datasets used throughout the industry
</li></ul><ul><li>Partner with both technical teams and non-technical business stakeholders
</li></ul><ul><li>Help modernize and automate existing workflows using AWS and Python
</li></ul><ul><li>Gain exposure to multiple areas of the data engineering function through cross-training
</li></ul><ul><li>Join a collaborative team where communication, initiative, and problem-solving are highly valued
</li></ul><p><b>About the team
</b></p><p>You'll join a team primarily made up of Data Analysts alongside an experienced Data Engineer. The role will work closely with both groups, supporting underwriting databases, sharing knowledge, and contributing to broader data engineering initiatives.
</p><p>While you'll take primary ownership of proof-of-concept activities, you'll also have the opportunity to learn other areas of the team's work, contributing to a collaborative environment where knowledge sharing and cross-training are encouraged.
</p><p>#LI-SD2 #LI-Hybrid</p></div></div>
<br><div><div><ul><li>Leading customer underwriting proof-of-concept (POC) projects from initial request through final delivery
</li><li>Working with customer-provided address data and matching it to unique reference identifiers
</li><li>Extracting, transforming, and delivering risk intelligence data including factors such as flood, fire, and burglary risk
</li><li>Producing clear data outputs and supporting documentation, including data dictionaries, that allow customers to easily evaluate results
</li><li>Investigating data-quality questions, coverage issues, and customer queries to ensure confidence in delivered outputs
</li><li>Using SQL and Python to extract, manipulate, validate, and prepare complex datasets
</li><li>Collaborating with internal stakeholders to understand evolving business and customer requirements
</li><li>Supporting and enhancing underwriting data platforms and associated data processes
</li><li>Working alongside the wider team to reduce single-person dependencies through knowledge sharing and cross-functional support
</li><li>Identifying opportunities to automate manual activities within the POC lifecycle
</li><li>Leveraging AWS technologies to improve scalability, efficiency, and repeatability of data processes
</li><li>Contributing ideas and recommendations that improve team effectiveness, data quality, and customer experience
</li><li>Maintaining high-quality technical documentation and providing clear project updates to stakeholders</li></ul></div></div>
<br><div><div><p>We're looking for someone who combines strong technical capability with curiosity, initiative, and excellent communication skills.
</p><p>You'll be comfortable working independently, solving problems, and explaining technical concepts to audiences with varying levels of technical knowledge.
</p><div><ul><li>Strong SQL skills with experience querying and manipulating large datasets
</li><li>Strong Python experience in a data engineering environment
</li><li>Experience building, maintaining, or optimizing data pipelines and data processes
</li><li>Experience working with AWS data engineering technologies
</li><li>Understanding of data quality, validation, and governance practices
</li><li>Strong analytical and problem-solving skills
</li><li>Excellent attention to detail
</li><li>Ability to communicate complex technical concepts clearly and confidently
</li><li>Experience working with both technical and non-technical stakeholders
</li><li>A proactive approach to identifying and implementing process improvements
</li>Ability to manage priorities and deliver work in a fast-paced environment<br>
<li>
</li></ul><p></p><p><b>Preferred skills
</b></p><ul><li>Experience with AWS Glue
</li><li>Experience deploying Python-based data engineering workloads into production environments
</li><li>Experience automating data workflows using cloud-native services
</li><li>Understanding of batch processing, scheduling, and scalable data solutions
</li>Experience within insurance, financial services, or another data-intensive industry<br>
<li>
</li></ul><p></p><p><b>What success looks like
</b></p><p>In this role, success is not simply about delivering data. It's about helping customers understand and gain value from it.
</p><p>You'll become a trusted expert in the data products you support, deliver proof-of-concepts efficiently, communicate clearly with stakeholders, and continuously look for opportunities to improve and automate the way the team works.
</p><p><b>What you'll find at Verisk
</b></p><p>At Verisk, you'll join a global organization where data and technology sit at the heart of everything we do. We offer the stability, scale, and resources of an established market leader while providing opportunities to make a meaningful impact from day one.
</p><p>We value collaboration, continuous learning, and practical innovation. Whether you're helping a customer evaluate new datasets, improving data engineering processes, or introducing automation that saves hours of effort, your work will have visible and lasting impact.
</p><p>We're open-minded about background and years of experience. What matters most is your ability to learn, solve problems, communicate effectively, and contribute to the success of the team.
</p><p><b>Ready to build data solutions that help shape better decisions across the insurance industry? We'd love to hear from you.</b></p></div></div></div>
<br><p></p><div><p><b>Our People, Our Culture
</b></p><p>For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.
</p><p>For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
</p><p><b>Our Culture </b>: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
</p><p><b>Awards &amp; Recognition </b>: See why Verisk is consistently recognized as a Great Place to Work&trade; around the world.
</p><p><b>Our Businesses </b>: Learn about the diverse industries we serve &mdash; from insurance and energy to financial services and beyond.
</p><p><b>Life at Verisk </b>: Discover what it&rsquo;s like to work at Verisk through employee stories, team highlights, and culture moments.
</p><p><b>Careers at Verisk </b>: Join a global team of problem-solvers and innovators doing meaningful work that&rsquo;s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture
</p><p>Let&rsquo;s build something meaningful together!
</p><p>Verisk Analytics is an equal opportunity employer.
</p><p>All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
</p><p>At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.
</p><p>Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws.
</p><p>We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.
</p><p>https://www.verisk.com/company/careers/
</p><p>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.</p></div><p></p>

Office for National Statistics

Senior Data Engineer - (GCP)

Nokia

<div><p>As a Data Engineer on the EDP team within Nokia&rsquo;s Digital Office and Enterprise Chief Data Office, you will help build a modern data-as-a-service platform that combines platform engineering, pipeline development, and analytics enablement. The role spans scalable data ingestion, transformation, and delivery across a growing and evolving platform.
</p><p>You will join a global team working across multiple countries and collaborate closely with architects, technical leads, product owners, fellow data engineers, and broader IT partners. This is an individual contributor role with a strong emphasis on teamwork, learning, and shared ownership of the platform.
</p><p>The platform sits at the forefront of cloud data engineering, giving you exposure to evolving Databricks and Azure capabilities as they are adopted and put into practice. You will also work alongside specialist partners &mdash; including platform vendors, independent software</p></div>
<br><div><ul><li>Build, maintain, and improve ingestion pipelines, notebooks, and data assets on Azure and Databricks using Delta Lake and PySpark, supporting reliable data delivery across the platform.
</li><li>Develop and optimize SQL and Python solutions that improve pipeline performance, data quality, and platform stability.
</li><li>Partner with architects, leads, product owners, and engineering peers to understand requirements, troubleshoot issues, and deliver practical data solutions.
</li><li>Provide specialist platform support to the operations team by diagnosing pipeline and platform issues, sharing deep technical knowledge, and guiding effective resolutions.
</li><li>Contribute to Power BI reporting and analytics enablement, turning curated platform data into useful insights for stakeholders.
</li><li>Use CI/CD practices in Azure DevOps to test, deploy, and maintain platform changes safely and efficiently.
</li><li>Help evaluate and apply new platform capabilities in partnership with internal architects and external specialists, turning emerging features into reliable engineering patterns for the team.
</li><li>Apply AI-assisted tools daily for research, design, coding, testing, and documentation, using them to move faster while maintaining engineering quality.
</li></ul><p>What success looks like in your first year
</p><ul><li>You are confident and effective working across the EDP platform stack and team ways of working.
</li><li>You are a trusted specialist partner to the operations team, helping them resolve platform and pipeline challenges with clear technical guidance.
</li><li>You are delivering ingestion pipelines, notebooks, and analytics-ready outputs that meet team and stakeholder needs.
</li><li>You are contributing to platform optimization and evolution, including practical use of newer platform capabilities and patterns shaped with architects and external partners.</li></ul></div>
<br><div><p><b>Must-have
</b></p><ul><li>Strong fundamentals in SQL, coding, and problem-solving, with the ability to break down technical challenges and learn new tools quickly.
</li><li>Hands-on experience building or supporting data pipelines or data platform components in cloud or distributed data environments.
</li><li>Comfort working with cloud data engineering tools, including experience with or willingness to work deeply in Azure, Databricks, Delta Lake, and PySpark.
</li><li>Experience with collaborative software development &mdash; version control, code review, and working effectively in cross-functional engineering teams.
</li>Clear communication skills and a proactive mindset, with confidence collaborating across time zones and using AI-assisted development tools as part of your daily workflow.<br>
<li>
</li></ul><p></p><p><b>Nice-to-have
</b></p><ul><li>Experience with Azure DevOps for CI/CD, testing, and deployment of data or platform workloads.
</li><li>Exposure to Power BI or similar analytics/reporting tools for delivering data to business users.
</li><li>Familiarity with lakehouse architecture, distributed processing with Spark, and platform performance tuning.
</li><li>Interest in working with new or preview platform features, and in collaborating with vendor specialists, ISVs, or architecture partners on complex technical challenges.
</li><li>Background in Agile delivery, mentoring or knowledge sharing, or personal and project work that demonstrates curiosity &mdash; including experimentation with AI tools, algorithms, or modern development workflows.</li></ul></div>
<br><div><div><b>Advancing connectivity to secure a brighter world.
</b></div><div><p>Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we&rsquo;re advancing connectivity to secure a brighter world.
</p></div><div>Learn more about life at Nokia .<br>
</div><div></div><br>
<br>
<div><p><b>Our recruitment process
</b></p><p>We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
</p><p>If you&rsquo;re interested in this role but don&rsquo;t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
</p><p>The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .</p></div></div>

Search 2168+ Data engineering specialist jobs near you this September. New roles added regularly across leading industries. Apply today.

2168 data engineering specialist jobs Near Me

Data Engineer - Data Engineering 4A

Senior Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer - (GCP)

Data Engineer