This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

We are seeking an Analytics‑focused Data Engineer to design and build trusted, analytics‑ready datasets on a modern AWS and Databricks data platform. This role is critical to enabling business intelligence, reporting, and advanced analytics by transforming raw data into well‑modeled, high‑quality, and performant analytics layers.

You will work closely with analytics, BI, finance, and product teams to ensure data is easy to consume, well understood, and reliable for decision‑making at scale.

Key Responsibilities

Analytics‑Ready Data Modeling

Design and implement analytics‑optimized data models (fact/dimension, star/snowflake schemas).

Build and maintain curated analytics layers (gold tables) in Databricks using Delta Lake.

Translate business requirements into clear, reusable datasets for dashboards and reports.

Support semantic consistency across metrics, dimensions, and KPIs.

Data Pipelines & Transformations

Develop and maintain ETL/ELT pipelines using Databricks (Spark SQL, PySpark).

Transform raw and intermediate data into clean, documented, and performant analytics datasets.

Implement incremental processing, partitioning, and optimization techniques for BI workloads.

Ensure pipelines are resilient, observable, and production‑ready.

AWS Analytics Platform

Leverage AWS services such as S3, Glue, Redshift, Lambda, and IAM to support analytics use cases.

Integrate Databricks with AWS storage and security services.

Monitor pipeline execution, performance, and cost for analytics workloads.

Data Quality, Metrics & Trust

Implement data quality checks, reconciliation logic, and anomaly detection for analytics data.

Validate accuracy of business metrics used in executive dashboards and reports.

Support data lineage, documentation, and metric definitions.

Partner with stakeholders to ensure a single source of truth for analytics.

BI & Analytics Enablement

Support downstream tools such as Power BI, Tableau, or similar BI tools.

Optimize datasets for dashboard performance and concurrency.

Collaborate with analysts to improve query patterns and data usage.

Enable self‑service analytics through well‑designed datasets and documentation.

Required Qualifications

5-8+ years of experience in data engineering or analytics engineering roles.

Strong experience with Databricks for analytics workloads.

Advanced proficiency in SQL (complex transformations, window functions, performance tuning).

Solid experience with AWS‑based analytics architectures.

Strong experience with data modeling for analytics.

Proficiency in Python or PySpark.

Experience supporting BI, reporting, and analytics teams.

Nice to Have

Experience with Analytics Engineering / ELT patterns.

Familiarity with dbt or similar transformation frameworks.

Experience supporting finance or executive reporting.

Knowledge of data governance, metric catalogs, or data discovery tools.

Experience with streaming data for near‑real‑time analytics.

Exposure to regulated or enterprise analytics environments.

About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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Geospatial Data Engineer - Contract
Remote UK
£420 per day
12 Months - the entirety of 2026 into 2027
Deemed Outside IR35 (pending QDOS assessment)
This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple’s impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies.
You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment and must have experience of RASTER data sets.
In this role, you will be:

• Developing ETL pipelines - Raster, Vector, Tabular data
• Configuring CI/CD pipelines
• Managing data storage within an AWS environment
• Improving data automation, workflow and efficiency
• Developing Python based ML pipelines

Key skills for this role include:

• Good knowledge of Python programming
• Experience in cloud computing (ideally AWS)
• Strong experience across industries in both Geospatial and non-Geospatial domains
• Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps)

Preferred Experience:

• Experience with frameworks like Metaflow, Prefect, etc.
• Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

Description

Data Engineer (Postgres Database administration)

Location: Farnborough, with flexibility to work from home dependent on business demands

Salary: £47,000 - £61,000

Clearance requirements: For this position you must have been a UK resident for at least 10 years in order to meet the security clearance residency criteria

Join our UK Team who are committed to a Mission!

The Role:

We are looking for an experienced Data Engineer to join us on a permanent basis.  We need talented individuals to apply their software development and data engineering skills for solving problems with data across a number of critical UK sectors.

We are on a mission to ensure that Leidos stands out in what is becoming an increasingly popular market place. It means creative solutions to problems using innovative design implementation and testing of systems and services with a focus on scalability and sustainability.

What will I be doing?

You will work closely with the Data Architect, Senior Data Engineers and fellow Data Engineers to form an integral part of the team. Our team comprises of a blend of seasoned experts and intermediate level engineers. It is a great place to be able to use your skills, learn from others and form one of the best performing teams in the business.

Your responsibilities will include:

• Working in a team of peer Data Engineers in an Agile manner
• Build, Maintain and Operate Data environments in the cloud
• Debug and resolve data processing and analytics issues
• Being proactive in evaluating and developing tools and technologies in improving the data platforms
• Supporting the development of data integration and data processing processes
• Sharing and collaborating with engineering, testing and dev-ops teams
• Supporting the creation of project plans, identification of risks, and generation of risk mitigation plans
• Supporting the migration of test and sensitive production data
• Supporting the operational system in a 3rd Tier support capacity

What does Leidos need from me?

As a minimum you will have:

• Postgres Database administration
• SQL programming (PL-SQL a plus)
• Experience with AWS Database offerings such as RDS, Aurora
• Expertise with AWS Data Migration Services (DMS)
• Leading a team of Data engineers in an Agile / Scrum environment
• Good communication skills
• Experience estimating task effort and identifying dependencies
• Experience analysing and improving query performance

The following would be advantageous:

• AWS Aurora Database or similar RDS managed database
• Experience supporting the operations of a large database, preferably Postgres.
• Large scale data migration experience
• Familiarity with DB2
• Familiarity with Oracle
• Scripting language experience (e.g. Python)

Clearance Requirements:

SC Clearance to start (we will support obtaining this)

DV Clearance for role

Unleash your talents at Leidos UK! Grow and advance rapidly in your career by letting us challenge you with the world’s toughest technical problems.

What we do for you:
At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance.

We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes:
•    Contributory Pension Scheme
•    Private Medical Insurance
•    33 days Annual Leave (including public and privilege holidays)
•    Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)

•    Flexi-Time Working

Commitment to Diversity:

We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture.  We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.  If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.

Who We Are:

Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering and science.

Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation.

What Makes Us Different:

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world.  You can inspire change.

Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team.  We have been empowering our people to work flexibly for years.  Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours.

People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

£47,600.00-£61,000.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Remote

Job Title: Solutions Architect (AI and Automation)
Location: Remote (occasional travel to London required)
Salary: £75,000 - £85,000 (Depending on location)

Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator.

Solutions Architect Responsibilities

• Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies.
• Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms.
• Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance.
• Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices.
• Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security.

Solutions Architect Requirements

• Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI).
• Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture.
• Experience with cloud-native architectures, microservices, and SaaS integrations.
• Knowledge of data governance, information security, and AI ethics within regulated industries.
• Excellent stakeholder engagement and leadership skills.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply