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Agile Automations Ltd.

Position: Data Engineer Location: Remote / UK based Hours: Full-time, 37.5 hours per week, Monday to Friday Contract: 12-month fixed-term contract with potential to become permanent Salary / Day Rate: Competitive, based on experience Start Date: As soon as possibleImportant: Please only apply for this role if you are currently based in the UK.ROLEAgile Automations Ltd is a well-established, high-growth company made up of industry-leading, creative and professional business individuals who take pride in delivering high-quality technology solutions for our clients.We work with organisations to design, build and support intelligent automation, integration, software and data-led solutions that improve business processes, reduce manual effort and create better visibility across operations.Due to a new 12-month client engagement, we are looking to recruit an experienced Data Engineer to join Agile Automations and support the delivery of data engineering services for a long-standing financial services client.This role would suit a highly capable Data Engineer with strong experience in designing, building, operationalising and supporting scalable data pipelines, data stores and integration solutions. The successful candidate will be comfortable working in a structured client environment, communicating clearly with stakeholders, producing high-quality documentation and taking ownership of technical delivery.You will need strong written and verbal communication skills, be self-motivated, organised and able to manage your own work schedule. You should be confident working with business, analytics and technology teams to translate requirements into practical, reliable and well-documented data solutions.RESPONSIBILITIES<ul><li>Design, develop, test and maintain data architecture across multiple application platforms.</li><li>Build, optimise and operationalise ETL/ELT data pipelines across structured and unstructured data sources.</li><li>Develop and maintain data integration solutions and APIs.</li><li>Manage data ingestion, transformation and delivery pipelines into production environments.</li><li>Support data accessibility, optimisation and downstream data consumption.</li><li>Define and support conceptual, logical and physical data models to meet business and analytics requirements.</li><li>Ensure data integrity, accuracy and consistency across systems.</li><li>Implement data quality controls, traceability and versioning processes.</li><li>Perform root cause analysis and support continuous optimisation of data processes.</li><li>Support data migration activities across databases, systems and environments.</li><li>Define and implement scalable data storage solutions and architectures.</li><li>Identify opportunities for process improvement, automation and reduced manual intervention.</li><li>Work closely with business, analytics and technology stakeholders to understand requirements and deliver practical solutions.</li><li>Produce clear technical documentation, solution design artefacts and process documentation.</li><li>Support knowledge transfer to internal and client teams.</li><li>Provide regular progress updates, including risks, assumptions, issues and dependencies.</li><li>Work in line with agreed architecture, governance, data protection, security and risk requirements.</li></ul>ESSENTIAL SKILLS / EXPERIENCE<ul><li>Significant experience in data engineering or a closely related discipline.</li><li>Strong experience building and optimising data pipelines, data architectures and data sets.</li><li>Experience with data integration, warehousing and reporting solutions.</li><li>Strong database programming experience, particularly SQL.</li><li>Experience with ETL/ELT tools, processes and best practice.</li><li>Experience developing APIs and system integration solutions.</li><li>Good understanding of the data lifecycle, integration patterns and system design.</li><li>Experience working with data quality, data integrity, traceability and governance requirements.</li><li>Ability to write clear technical documentation and communicate technical concepts effectively.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent attention to detail and a quality-focused approach.</li><li>Ability to work independently while collaborating effectively with wider project teams.</li><li>Strong stakeholder management skills within IT or data-led environments.</li></ul>DESIRABLE SKILLS / EXPERIENCE<ul><li>Experience working in financial services, banking, regulated environments or enterprise IT environments.</li><li>Experience with cloud-based or big data environments, including AWS or similar platforms.</li><li>Experience with Spark, PL/SQL or similar database / data engineering technologies.</li><li>Experience with big data frameworks and pipeline orchestration tools.</li><li>Experience supporting production data platforms and monitoring pipeline performance.</li><li>Experience contributing to data standards, governance processes or best practice documentation.</li><li>Experience working in Agile or structured delivery environments.</li></ul>QUALIFICATIONS<ul><li>A relevant Bachelor&rsquo;s Degree or equivalent professional qualification / experience in one or more of the following areas would be preferred:</li><li>Information Technology</li><li>Data Management</li><li>Data Science</li><li>Business Analytics</li><li>Computer Science</li><li>A related technical discipline</li></ul>WHAT WE ARE LOOKING FORWe are looking for someone who is technically strong, reliable, practical and professional.The successful candidate should be able to take ownership of data engineering tasks, work to agreed priorities, communicate clearly with stakeholders and produce work to the high standards our clients expect.This role requires someone who can combine strong technical delivery with clear documentation, good judgement and professional communication.BENEFITSCompetitive salary or day rate, based on experience.Flexible remote working.Opportunity to work on a long-term client engagement.Potential to move into a permanent role with Agile Automations.Support from an experienced Agile Automations delivery team.Opportunity to work in a professional, regulated client environment.Training, support and career development opportunities where appropriate.DIVERSITY AND EQUAL OPPORTUNITY POLICY STATEMENTAgile Automations Ltd is committed to supporting, developing and promoting diversity and equality in all its employment practices and activities. We aim to establish an inclusive culture free from discrimination and based on the values of fairness, dignity and respect.Agile Automations Ltd values diversity and recognises that the organisation is greatly enhanced by the different range of backgrounds, experiences, views, beliefs and cultures represented within its staff.Agile Automations Ltd expects all employees, contractors and agency staff to act in accordance with this policy.JOB TYPEFull-time12-month fixed-term contract with potential to become permanentRemote workingHOW TO APPLYPlease apply with an up-to-date CV showing your relevant data engineering experience, technical skills and recent project work.Shortlisted candidates may be asked to provide further details of relevant project experience before being submitted for client consideration.Job Types: Full-time, Contract, Permanent Contract length: 12 monthsPay: From &pound;40,000.00 per yearBenefits:<ul><li>Casual dress</li><li>Company events</li><li>Company pension</li><li>Private medical insurance</li><li>Referral programme</li><li>Work from home</li></ul>Application question(s):<ul><li>Are you currently located in the UK and have a valid permit to work in the UK with more than 1 year remaining?</li></ul>Experience:<ul><li>Data Engineering: 5 years (preferred)</li></ul>Work Location: In person

Data Engineer

Raytheon

<div>Date Posted:
2026-03-17
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite.
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.
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.
Due to the interesting work we do and the sector this team is working in, we require all candidates to hold current eDV clearance.
Responsibilities<ul><li>
Build data pipelines that clean, transform, and aggregate data from disparate sources</li><li>
Collaborate with stakeholders and other engineers</li><li>
Contribute to the completion of milestones associated with your project</li><li>
Contribute to continuous improvement within your team</li><li>
Collaborate with your peers on technical direction within your team</li></ul>
Required Skills and Experience<ul><li>
Strong analytic skills related to working with unstructured datasets</li><li>
Python (PySpark, Pandas, PyArrow)</li><li>
Distributed data processing (Apache Spark)</li><li>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</li><li>
Cloud services (AWS, Azure or GCP)</li><li>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</li><li>
SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li></ul>
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.<div>
Benefits &amp; Work Culture
Benefits:<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>
Work Culture:<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> 
About us
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.
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. 
 
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.
RTX 
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. 
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.
#LI-AS3
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.
Privacy Policy and Terms:</div>

Obsidian Security

<div><div>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.

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.

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.

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.</div><h3 class="jobSectionHeader">
About the Role</h3>

As a Data Engineer at Obsidian, you'll:
<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">What's in it for you</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">Required Skills and Experience:</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">Desirable Experience</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>

<div>Date Posted:
2026-03-18
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite.
As Senior Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.
We have opportunities for Data Engineers at every level within a team, so your Recruiter will discuss the great opportunities for development or challenges we offer based off your professional profile.
Due to the interesting work we do and the sector this team is working in, we require all candidates to currently hold eDV clearance.
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.
Responsibilities<ul><li>
Build data pipelines that clean, transform, and aggregate data from disparate sources</li><li>
Collaborate with stakeholders and other engineers</li><li>
Contribute to the completion of milestones associated with your project</li><li>
Contribute to continuous improvement within your team</li><li>
Collaborate with your peers on technical direction within your team</li></ul>
Required Experience:<ul><li>
Strong analytic skills related to working with unstructured datasets</li><li>
Python (PySpark, Pandas, PyArrow)</li><li>
Distributed data processing (Apache Spark)</li><li>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</li><li>
Cloud services (AWS, Azure or GCP)</li><li>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</li><li>
SQL and NoSQL</li><li>
Storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li><li>
Use of Code repositories, familiarity with branching strategies, pull requests and merge processes</li></ul>
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.<div>
Benefits &amp; Work Culture
Benefits:<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>
Work Culture:<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> 
About us
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. 
 
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.
RTX 
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. 
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.
#LI-AS3
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.
Privacy Policy and Terms:</div>

Senior Data Engineer

Jacobs

<div>
 At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
 
 
 Your impact
 
 
 This is a great time to join our Data &amp; Digital team as we continue to scale our data platform and AI capabilities across critical infrastructure sectors. You&rsquo;ll be working at the forefront of modern data engineering, helping design and deliver high-impact solutions that transform how organisations operate and make decisions. It&rsquo;s an opportunity to work on complex, large-scale challenges, building production-grade data systems and AI-enabling platforms that deliver measurable outcomes across industries such as water, transport, and energy.
 
 
 With the opportunity to shape how data and AI power essential infrastructure worldwide, why wouldn&rsquo;t you want to make an impact?
 
 
 
 Day to Day
 
 
 
 <ul>
 <li>
 Design and build robust, scalable data platforms and pipelines on Azure and Databricks (batch and streaming)
 </li>
 <li>
 Develop high-quality data products using Python, SQL, Spark, and Delta Lake within modern lakehouse architectures
 </li>
 <li>
 Create AI-enabling foundations including feature stores, ML-ready datasets, and automated model-serving workflows
 </li>
 <li>
 Implement best practices in testing, observability, and monitoring (metrics, logging, lineage) to ensure platform reliability
 </li>
 <li>
 Optimise cost, performance, and scalability across large-scale data workloads
 </li>
 <li>
 Apply security-by-design principles, leveraging tools such as Unity Catalog for governance and access control
 </li>
 <li>
 Automate engineering workflows using Infrastructure-as-Code (Terraform/Bicep) and CI/CD pipelines (Azure DevOps/GitHub Actions)
 </li>
 <li>
 Collaborate with clients to translate business challenges into technical solutions, facilitating workshops and aligning stakeholders
 </li>
 <li>
 Continuously deliver value through iterative development, frequent releases, and outcome-driven delivery
 </li>
 <li>
 Evaluate and implement modern data tooling and architectural patterns to improve platform capability
 </li>
 <li>
 Contribute to reusable frameworks, templates, and scalable engineering practices
 </li>
 <li>
 Communicate trade-offs, risks, and technical decisions clearly to both technical and non-technical audiences
 
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Work on large-scale, high-impact data and AI solutions across critical infrastructure industries
 </li>
 <li>
 Build modern data platforms using cutting-edge technologies across Azure and Databricks
 </li>
 <li>
 Be part of an engineering-led culture with strong investment in platforms, tooling, and innovation
 </li>
 <li>
 Collaborate with highly skilled engineers, architects, and data professionals
 </li>
 <li>
 Gain exposure to complex, real-world data challenges at scale
 </li>
 <li>
 Develop deep expertise in cloud data engineering, AI enablement, and modern architecture patterns
 </li>
 <li>
 Shape technical solutions that directly influence business outcomes
 </li>
 <li>
 Opportunities to grow into principal engineering, architecture, or technical leadership paths
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A global network of expertise and opportunity
 </li>
 <li>
 A culture founded on safety, integrity, inclusion, and belonging
 </li>
 <li>
 Flexible working arrangements that support your well-being and potential
 </li>
 <li>
 Investment in your development, including certifications, learning time, and access to mentors
 </li>
 <li>
 Opportunities to contribute to communities of practice and internal technical initiatives
 </li>
 <li>
 Exposure to diverse projects across multiple industries and regions
 </li>
 <li>
 Competitive benefits package including pension, holiday allowance, and additional perks
 
 
 
 </li>
 </ul>
 #Digital&amp;Data
 
 
 Here's what you'll need
 
 
 <ul>
 <li>
 Azure (Cloud Platform) Experience building and scaling data solutions using services like ADLS Gen2, Data Factory or Synapse, and Event Hubs, with a strong understanding of security, networking, and enterprise-grade architecture
 </li>
 <li>
 Databricks (Data Processing &amp; Analytics) Hands-on experience delivering end-to-end pipelines in Databricks, using Spark and Delta Lake, with exposure to governance through Unity Catalog and ML workflows such as MLflow
 </li>
 <li>
 Python &amp; SQL (Core Engineering Skills) Strong capability in Python (PySpark) and SQL to develop, optimise, and maintain scalable, high-performing data pipelines and transformations
 </li>
 <li>
 Modern Data Architecture (Lakehouse) Experience designing and working within lakehouse environments, applying data modelling approaches to create flexible, reusable, and high-performance data layers
 </li>
 <li>
 CI/CD &amp; DevOps Practices Familiarity with Git, automated deployment pipelines using Azure DevOps or GitHub Actions, and Infrastructure-as-Code tools such as Terraform or Bicep to enable reliable, production-ready delivery
 </li>
 <li>
 Data Quality, Observability &amp; Governance Experience implementing testing, monitoring, logging, and governance practices to ensure data is accurate, secure, and trusted across platforms
 </li>
 <li>
 AI &amp; Machine Learning Enablement Exposure to supporting AI and machine learning use cases, including preparing feature datasets, enabling experimentation, and contributing to model deployment and lifecycle management
 
 
 
 </li>
 </ul>
 Joining Jacobs not only connects you locally but globally. Our values stand on a foundation of safety, integrity, inclusion and belonging. We put people at the heart of our business, and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees.
 
 
 With safety and flexibility always top of mind, we&rsquo;ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You&rsquo;ll uncover flexible working arrangements, benefits, and opportunities, from well-being benefits to our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you&rsquo;ll discover how you can cultivate, nurture, and achieve your goals &ndash; all at a single global company. Find out more about life at Jacobs.
 
 
 We aim to embed inclusion and belonging in everything we do. We know that if we are inclusive, we&rsquo;re more connected and creative. We accept people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your Community initiatives, allowing every employee to find connection, purpose, and belonging. Find out more about our Jacobs Employee Networks here.
 
 
 Jacobs partners with VERCIDA to help us attract and retain talent from a wide range of backgrounds. For greater online accessibility please visit https//www.vercida.com/uk/employers/jacobs to view and access our roles.
 
 
 As a disability confident employer, we will interview disabled candidates who best meet the criteria. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
 
 
 We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
 
 
 Your application experience is important to us, and we&rsquo;re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
 
 
</div>

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
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Software Engineer, Data Infrastructure & Acquisition - Manchester, United Kingdom

<div><div>About THG

We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.

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.

From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.

With us, you'll go further, faster. What are you waiting for?</div>
Location: Icon 1, WA15 0AF

About Central Functions

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.

Why be the Data Engineering Lead at THG?

THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations.

This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep &mdash; setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard.

Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that &mdash; working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business.

You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice.

What you'll do:

Technical Leadership &amp; Architecture
<ul>
<li>Own the data engineering architecture for THG &mdash; defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains</li>
<li>Design consistent standards and patterns across all three domains &mdash; ensuring shared attributes are handled uniformly and that data can be reliably joined across domains</li>
<li>Lead the evolution of our BigQuery/GCP platform &mdash; driving migrations, modernising legacy pipelines, and building for scalability</li>
<li>Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces</li>
<li>Develop and enforce engineering standards across the team &mdash; version control, testing frameworks, error handling, documentation and code review practices</li>
</ul>
Domain Dataset Development
<ul>
<li>Lead the build-out of structured, reliable domain datasets &mdash; moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms</li>
<li>Work towards the foundations of a single source of truth &mdash; defining how data from different source systems is reconciled, deduplicated and mastered within each domain</li>
<li>Ensure domain datasets are structured for downstream consumption &mdash; analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces</li>
</ul>
AI-Enabled Engineering
<ul>
<li>Champion the use of AI in data engineering &mdash; this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work</li>
<li>Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring</li>
<li>Stay current with AI developments in the data engineering space and bring new approaches into the team's practice</li>
</ul>
Ingenuity Relationship
<ul>
<li>Work closely with the Ingenuity engineering team &mdash; understanding what they provide at the platform layer and building effectively on top of it</li>
<li>Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets</li>
<li>Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains</li>
</ul>
People &amp; Team
<ul>
<li>Manage, coach and develop a team of six domain-aligned engineers &mdash; three Senior Data Engineers and three Data Engineers</li>
<li>Run a structured review and development process for each engineer, building their technical capability and career progression</li>
<li>Foster a culture of engineering excellence, collaboration and continuous improvement</li>
</ul>
What skills and experience do I need for this role?

Essential
<ul>
<li>Hands-on, expert-level experience with BigQuery and GCP &mdash; this is non-negotiable; you must have built and operated production data pipelines on this stack</li>
<li>Strong Python skills &mdash; used daily for pipeline development, data transformation and automation</li>
<li>Experience across at least two of the three core data domains: Customer, Commercial and Operations</li>
<li>A track record of evolving data architecture &mdash; you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data</li>
<li>Deep understanding of data modelling, pipeline design and distributed data architecture</li>
<li>Experience with Dataform or dbt for data transformation</li>
<li>Demonstrated use of AI in data engineering &mdash; AI-assisted pipeline development, automated quality checks, or similar practical applications</li>
<li>Experience mentoring and developing engineers</li>
</ul>
Desirable
<ul>
<li>Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project</li>
<li>Familiarity with data governance principles and working alongside a governance function</li>
<li>E-commerce or retail background</li>
<li>Experience with streaming or real-time data pipelines</li>
</ul>
What's in it for me?

Career Development
<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>
Enhanced Leave
<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>
Wellbeing Support
<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>
Other Perks
<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>
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.

THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.

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 Talent team to discuss further.</div></div>

Data Engineering Lead

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Software Engineer, Data Infrastructure & Acquisition - Manchester, United Kingdom

Data Engineering Lead