data engineer

software developer

data architect

data engineer (gcp)

data engineer - aws

data developer

Obsidian Security

<div><div><p>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.</p>
<p>
Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.</p>
<p>
With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.</p>
<p>
With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</p></div><h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p><b>
As a Data Engineer at Obsidian, you'll:</b></p>
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader"><b>What's in it for you</b></h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills and Experience:</b></h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader"><b>Desirable Experience</b></h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

Raytheon

<div><p><b>Date Posted:</b></p>
2026-03-17<p><b>
Country:</b></p>
United Kingdom<p><b>
Location:</b></p>
Manchester, Lancashire<p><b>
Position Role Type:</b></p>
Onsite<p></p><p>
Raytheon UK have a full time, permanent opportunity for a <b>Data Engineer</b> to join our team on our Manchester, Gloucester or London sites working onsite.</p><p></p><p>
Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team.</p><p></p><p>
We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile.</p><p></p><p>
Due to the interesting work we do and the sector this team is working in, we require all candidates to<b> hold current</b><b> eDV clearance.</b></p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Build data pipelines that clean, transform, and aggregate data from disparate sources</p></li><li><p>
Collaborate with stakeholders and other engineers</p></li><li><p>
Contribute to the completion of milestones associated with your project</p></li><li><p>
Contribute to continuous improvement within your team</p></li><li><p>
Collaborate with your peers on technical direction within your team</p></li></ul><p></p><p><b>
Required Skills and Experience</b></p><ul><li><p>
Strong analytic skills related to working with unstructured datasets</p></li><li><p>
Python (PySpark, Pandas, PyArrow)</p></li><li><p>
Distributed data processing (Apache Spark)</p></li><li><p>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</p></li><li><p>
Cloud services (AWS, Azure or GCP)</p></li><li><p>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</p></li><li><p>
SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake)</p></li><li><p>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</p></li><li><p>
Testing frameworks and best practices</p></li></ul><p></p><p>
We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.</p><p></p><div><p><b>
Benefits &amp; Work Culture</b></p><p></p><p><b>
Benefits:</b></p><ul><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension</li><li>
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li><li>
Company bonus scheme (discretionary)</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</li><li>
Enhanced sick pay</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul><p></p><p><b>
Work Culture:</b></p><ul><li>
37hr working week</li><li>
Early 1.30pm finish Friday, start your weekend early!</li><li>
Up to 5 paid days volunteering each year.</li><li>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</li></ul></div><p></p><p><b><br>
About us</b></p><p></p><p>
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.</p><p></p><p>
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.<br>
<br>
Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.</p><p></p><p><b>
RTX</b><br>
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon.</p><p><br>
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.</p><p></p><p>
#LI-AS3</p><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i>
</p><p></p><p><b>Privacy Policy and Terms:</b></p></div><p></p>

PA Consulting

<div><div><p>We believe in the power of ingenuity to build a positive human future.
</p><p>As strategies, technologies, and innovation collide, we create opportunity from complexity.</p><p>
Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.</p><p>
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
</p><p>Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.</p><p><b>
PA. Bringing Ingenuity to Life.</b></p></div><br>
<div><div><div><div><h4 class="jobSectionHeader"><b>Job description</b></h4><p>
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.</p><p><b>
Why consider joining our Digital &amp; Data community? 🤔</b></p><ul><li>
Join our Digital &amp; Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.</li><li>
Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn&rsquo;t align with what you want to do.</li><li>
Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.
</li><li>Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same</li><li>
Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring</li><li>
Deepen your expertise through our a culture of learning and growth &ndash; you&rsquo;ll have budget to take courses (technical and non-technical training), plus gain certifications</li></ul><p><b>
Our tech stack 🚀</b></p><p>
While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications:</p><ul><li>
AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.</li><li>
AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.</li></ul><p><b>
What you can expect 🌱</b></p><ul><li>
Work to agile best practices and cross-functionally with multiple teams and stakeholders. You&rsquo;ll be using your technical skills to problem solve with our clients, as well as working on internal projects</li><li>
Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams</li><li>
Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.</li><li>
An environment that deeply cares about its values Values | PA Consulting</li><li>
You&rsquo;ll work alongside colleagues from across PA &ndash; delivering transformative digital solutions to today&rsquo;s most complex business challenges.</li><li>
You&rsquo;ll be designing and building for the AWS cloud</li></ul><br>
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Qualifications</b></h4><p><b>
Essential requirements ✅</b></p><p>
Even if you don&rsquo;t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to.</p><ul><li>
You thrive in problem-solving and analytical thinking
</li><li>You enjoy collaborating with multiple stakeholders in a fast-paced environment</li><li>
Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.</li><li>
Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.</li><li>
Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.</li></ul><br>
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Additional information</b></h4><p><b>
Assessment process ️</b></p><p>
Please note that the interview stages may be subject to change based on the specific requirements of the role.</p><ul><li>
Quick call with one of our Tech Recruiters &ndash; to discuss your application, the role and PA</li><li>
Round 1: Either a competency or technical interview (60 mins)</li><li>
Round 2: Either a competency or technical interview, whichever you didn&rsquo;t do at first round (60 mins)</li><li>
Final round 🎉: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins)</li></ul><p>
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.</p><p>
Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world&rsquo;s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self.</p><p></p><p><br>
We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:</p><ul><li>
Health and lifestyle perks accompanying private healthcare for you and your family</li><li>
25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days</li><li>
Generous company pension scheme</li><li>
Opportunity to get involved with community and charity-based initiatives</li><li>
Annual performance-based bonus</li><li>
PA share ownership</li><li>
Tax efficient benefits (cycle to work, give as you earn)</li></ul><p>
We&rsquo;re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.</p><p>
Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com</p><p>
#LI-SG1</p></div></div></div></div></div>

TRADER Corporation

<div><div><h3 class="jobSectionHeader"><b>About us</b></h3>
<p>
You've probably heard of Autotrader, but do you know what we're all about?</p>
<p>
We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we&rsquo;re also the place for pretty much everything else on wheels, from e-bikes to caravans.</p>
<p>
In the automotive world, change is a constant, that&rsquo;s why we take our job of untangling the complex car-buying journey very seriously.<br>
<br>
At our core, we&rsquo;re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.</p>
<p>
Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.</p>
<h3 class="jobSectionHeader"><b>
About the job</b></h3>
<p>
We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science-driven organisation.</p>
<p>
As a Senior Data Scientist you will be responsible for the direction of Data Science at Autotrader. You will join a cross-functional collaborative squad focussed around a set of products or a services. With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects. Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.</p>
<p>
Right now, our Data Scientists are working on several exciting projects. For instance, they're creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.</p>
<p>
As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts. Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops. As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.</p>
<p>
We have invested heavily in a Data Platform that supports industry-leading Data Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):<br>
<br>
Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.</p><br>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<p>
We are looking to grow our diverse team of curious data scientists. In your application, you should demonstrate:</p>
<ul>
<li>A track record of delivering data science solutions in a commercial business</li>
<li>Experience productionising machine learning workflows. Knowledge of deployment and monitoring strategies.</li>
<li>A deep understanding of ML frameworks, algorithms and statistical methods</li>
<li>Expertise with Python and SQL</li>
<li>Experience orchestrating data science projects in cross-functional teams and confidence leading other data scientists</li>
<li>Enthusiasm for engaging with stakeholders both technical and non-technical to identify opportunities for Data Science and influence squad roadmaps</li>
<li>A passion for coaching Data Analysts and Data Scientists</li>
</ul>
<p>During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further.</p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<p>
We&rsquo;re offering a salary of &pound;50,000&ndash; &pound;70,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.</p>
<p>
You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve.</p>
<p>
That&rsquo;s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.</p>
<p>
We always want to give you the support you need and help prioritise your wellbeing, that&rsquo;s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.</p>
<p>
On top of all that, our hybrid model, Connected Working, combines the best of both worlds &ndash; office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.</p>
<p>
Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.</p></div></div><p></p>

Senior Data Scientist

The Co-Operative Bank

<div><div><ul><div><div><div><h2 class="jobSectionHeader"><b>About the role</b></h2></div><b>
</b></div></div><div><div><div><div><p>We have <b>5 x Data Engineer</b> opportunities, working in our Data and Analytics Delivery department. The Data Engineers will join the group on a 12-month fixed term contract to focus on the migration and integration of data into our new ecosystem.</p>
<p>
The Data Engineer will be designing, developing and testing quality data engineering solutions and will look to challenge and improve our processes, tools and approach. The person in post will undertake review and assurance activity, providing other team members with guidance on design, build and test activity.</p>
<p>
Adhering to standard driven code development, the Data Engineer will deliver solutions that meet business needs in a timely manner and will take responsibility for the testing of their solution, including the analysis of requirement, designs of test cases &amp; scripts, preparing test data and creating and executing tests to ensure effective and accurate deliverables.</p>
<p><i>
We operate on a team led</i><b><i> </i></b><i>hybrid approach with at least 1 day a week in the Coventry or Manchester office.</i></p>
<p><b>
Our benefits include:</b></p>
<ul>
<li>28 days holiday a year plus bank holidays and a holiday buy/sell scheme</li>
<li>Annual discretionary bonus scheme</li>
<li>Personal pension with matched contributions</li>
<li>Life assurance (6 times annual salary)</li></ul><br>
<p></p>
<p><i>
We reserve the right to close this advert early if we receive a high volume of suitable applications</i></p><br>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>About you</b></h2></div><b>
</b></div></div><div><div><div><div><p>You&rsquo;ll either have a Data Engineering related qualification and/or extensive Data Development experience in a commercial or Agile environment.
</p><p>To be successful in this role it&rsquo;s essential that you will:</p>
<ul>
<li>Have significant experience of <b>AWS</b>, Python, SQL, Git<b> </b>and PySpark</li>
</ul>
<p>Desirable experience needed will be:</p>
<ul>
<li>SISS or SAS experience</li>
<li>Quality Assurance and Test Automation experience</li>
<li>Experience of Database technologies</li>
<li>Experience in Financial Services organisation</li></ul><br>
<br>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>About us</b></h2></div><b>
</b></div></div><div><div><div><div><p>In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UK&rsquo;s original ethical bank was the start of an exciting journey.</p>
<p>
Trusted by over four million people, we&rsquo;re a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues.</p>
<p>
We&rsquo;re officially recognised as a &lsquo;Great Place to Work&rsquo; and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing.</p>
<p>
We&rsquo;re serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know you&rsquo;ll build more than just a career with us.</p>
<p><b>
Flexibility and why it matters</b></p>
<p>
We understand the need for flexibility, so wherever possible, we&rsquo;ll consider alternative working patterns. Have a chat with us before you</p></div></div></div></div></ul></div></div><p></p>

Data Engineer - AWS

Anaplan

<div>
 <p>
  At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
 </p>
 <p>
  What unites Anaplanners across teams and geographies is our collective commitment to our customers&rsquo; success and to our Winning Culture.
 </p>
 <p>
  Our customers rank among the who&rsquo;s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
 </p>
 <p>
  Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating
  <em>
  </em>
  our wins &ndash; big and small.
 </p>
 <p>
  Supported by operating principles of being strategy-led, values-based and disciplined in execution, you&rsquo;ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let&rsquo;s build what&rsquo;s next - together!
 </p>
 <p>
  <strong>
   Team Description
  </strong>
 </p>
 <p>
  The Data Engineering team is responsible for developing and maintaining the company&rsquo;s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.
 </p>
 <p>
  <strong>
   Your Impact
  </strong>
 </p>
 <ul>
  <li>
   Contribute to the development and enhancement of data ingestion and processing pipelines
  </li>
  <li>
   Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
  </li>
  <li>
   Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
  </li>
  <li>
   Support the team in delivering scalable solutions while learning and growing your expertise
  </li>
  <li>
   Work as part of a collaborative team that values creativity and continuous improvement
  </li>
  <li>
   Help build and maintain data pipelines that support AI and decision-making tools
  </li>
 </ul>
 <p>
  <strong>
   Your Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Commercial &amp; proven experience in data engineering or related technical roles
  </li>
  <li>
   Proficiency in SQL and Python for data processing and pipeline development
  </li>
  <li>
   Experience with data warehousing concepts and ETL/ELT processes
  </li>
  <li>
   Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
  </li>
  <li>
   Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
  </li>
  <li>
   Experience working with columnar formats like Parquet and Avro
  </li>
  <li>
   Understanding of data modeling, database optimization, and performance tuning
  </li>
  <li>
   Experience integrating data from various sources including APIs, FTP, and cloud storage
  </li>
 </ul>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of streaming data processing and data APIs
  </li>
  <li>
   Knowledge of cloud platforms, particularly AWS
  </li>
  <li>
   Familiarity with infrastructure as code and CI/CD practices
  </li>
  <li>
   Experience with time series data
  </li>
 </ul>
 <p>
  <strong>
   Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
  </strong>
 </p>
 <p>
  We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren&rsquo;t just words on paper &ndash; this is what drives our innovation, it&rsquo;s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
 </p>
 <p>
  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. &nbsp;
 </p>
 <p>
  <strong>
   Fraud Recruitment Disclaimer
  </strong>
  &nbsp;
 </p>
 <p>
  It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
 </p>
 <p>
  Anaplan does not: &nbsp;
 </p>
 <ul>
  <li>
   Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  &nbsp;
  </li>
  <li>
   Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. &nbsp;
  </li>
 </ul>
 <p>
  All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
</div>


<div><div><p><b>About THG</b></p>
<p>
We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.</p>
<p>
Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.</p>
<p>
From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.</p>
<p>
With us, you'll go further, faster. What are you waiting for?</p></div><p><b>
Location: Icon 1, WA15 0AF</b></p>
<p><b>
About Central Functions</b></p>
<p>
Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.</p>
<p><b>
Why be a Data Engineer at THG?</b></p>
<p>
THG is building the engineering capability that will sit beneath every analytics, data science and AI initiative across the business. As a Data Engineer within our Engineering &amp; Governance pillar, you will work within one of three domain-aligned engineering teams &mdash; Customer, Commercial or Operations &mdash; helping to build and evolve the structured domain datasets that the business depends on.</p>
<p>
This is an early-career role with real responsibility. You will be working alongside a Senior Data Engineer and Engineering Lead on some of THG's most important data challenges: consolidating fragmented data sources, building reliable pipelines, and moving the business towards a consistent, trustworthy foundation for how we manage our data.</p>
<p>
We are not looking for someone who has done this all before &mdash; we are looking for someone technically capable, curious, and genuinely motivated by the craft of data engineering. If you want to build things that matter and develop quickly in a fast-moving environment, this is the right role.</p>
<p><b>
What you'll do:</b></p>
<p><b>
Pipeline Development</b></p>
<ul>
<li>Build and maintain data pipelines within your domain &mdash; extracting, transforming and loading data from source systems into structured domain datasets in BigQuery</li>
<li>Work to the architectural patterns and standards set by the Engineering Lead &mdash; applying consistent approaches to how data is ingested, transformed and stored</li>
<li>Support the migration of existing pipelines from legacy on-prem SQL Server infrastructure to BigQuery and Dataform</li>
<li>Apply version control (Git) as standard practice &mdash; all code is reviewed, documented and maintained properly</li>
</ul>
<p><b>Domain Dataset Development</b></p>
<ul>
<li>Contribute to the build-out of your aligned domain dataset &mdash; helping to consolidate disparate data sources into a structured, reliable and well-documented data asset</li>
<li>As an example in the Customer domain: working towards the foundations of a unified customer dataset, bringing together data from multiple source systems into a consistent, queryable structure</li>
<li>In Commercial: building and maintaining the datasets that power category, brand and trading analytics &mdash; ensuring consistency in how commercial data is structured and stored</li>
<li>In Operations: developing the data pipelines and structures that support supply chain, logistics and fulfilment analytics</li>
<li>Identify and flag data quality issues within your domain &mdash; working with the Data Governance Lead on standards and resolution</li>
</ul>
<p><b>Collaboration</b></p>
<ul>
<li>Work closely with your Senior Data Engineer and the Engineering Lead &mdash; asking questions, learning fast and contributing to the team's technical decisions</li>
<li>Engage with analytics and data science teams who consume your domain's data &mdash; understanding their requirements and ensuring what you build is useful</li>
<li>Participate in code reviews &mdash; both having your work reviewed and, as you develop, reviewing others</li>
<li>Use AI tools effectively to accelerate your development work &mdash; we expect AI-assisted coding and pipeline development to be part of how the team works</li>
</ul>
<p><b>What skills and experience do I need for this role?</b></p>
<p><b>
Essential</b></p>
<ul>
<li>Solid SQL skills &mdash; able to write intermediate to advanced queries and comfortable working with relational databases</li>
<li>Python &mdash; working knowledge sufficient for data manipulation, scripting and pipeline development</li>
<li>A genuine passion for data engineering &mdash; you find the challenge of getting data right genuinely interesting</li>
<li>Attention to detail and a methodical approach &mdash; data engineering is unforgiving of sloppiness</li>
<li>Eagerness to learn &mdash; this role will develop quickly and we want someone who grabs that opportunity</li>
</ul>
<p><b>Desirable</b></p>
<ul>
<li>Exposure to BigQuery, Dataform or equivalent cloud data tools</li>
<li>Familiarity with version control (Git)</li>
<li>Experience with or understanding of data pipeline design patterns</li>
<li>Degree in Computer Science, Mathematics, Engineering or a related discipline</li>
<li>Any experience applying AI tools in a technical context</li>
</ul>
<p><b>What's in it for me?</b></p>
<p><b>
Career Development</b></p>
<ul>
<li>Access bespoke development programmes that have been designed and developed by our in-house L&amp;D team.</li>
<li>Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.</li>
</ul>
<p><b>Enhanced Leave</b></p>
<ul>
<li>25 days annual leave plus bank holidays.</li>
<li>Don't want to work on your birthday? We don't either! Enjoy your day off on us!</li>
<li>Enhanced maternity and paternity pay, depending on length of service.</li>
<li>Up to 10 days compassionate leave.</li>
<li>Buy back up to 3 days each year.</li>
<li>Unlock 2 days volunteer leave after 12-months.</li>
</ul>
<p><b>Wellbeing Support</b></p>
<ul>
<li>Access face-to-face and virtual appointments with our in-house GP.</li>
<li>Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.</li>
<li>State-of-the-art on-site gym.</li>
<li>Access to our on-site physio.</li>
</ul>
<p><b>Other Perks</b></p>
<ul>
<li>Save up to 12% on the cost of personal tech through our salary sacrifice scheme.</li>
<li>Subsidised bus pass from Manchester City Centre to our ICON office.</li>
<li>Up to 50% staff discount on THG brands.</li>
<li>On-site staff shop.</li>
<li>Know someone who would be perfect for THG? Refer them and get up to &pound;1000 when they pass their probation.</li>
<li>Anniversary gifts when you hit 5 and 10 years of service.</li>
</ul><div><p><b>
THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.</b></p>
<p><b>
THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.</b></p>
<p><b>
Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our </b><b>Talent</b><b> team to discuss further.</b></p></div></div>

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