Data Engineer (Python, SQL, Machine Learning) Robotics

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- (Python & SQL) Related Jobs Senior Data Engineer (INV) Senior Consultant, Data Engineer, AI&Data, UKI (INV) Senior Consultant, Data Engineer, AI&Data, UKI Data Engineer Senior Consultant, Data Engineer, AI&Data, UKI, Northern Ireland ) Data Engineer Overview Key Responsibilities Qualifications About Accenture Job Details Data Engineer with AI Experience role at Accenture UK & Ireland.
Location: London.
Salary: Competitive salary and package (depending on level of experience).
Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history and declaration of being a British passport holder with no dual nationalism at the point of application.
Note: The above information relates to a specific client requirement.
Accenture is a leading global professional services company, providing a broad range of services across strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services.
Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice Define, document and iterate data mappings based on concepts and principles of data modelling Re-engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Deliver high quality implementation and documentation for critical functionality Deliver code, unit tests, feature tests, stubs and integration tests Operate in an agile environment as part of a scrum team and participate in sprint rituals Work with team members to understand designs, functional requirements and triage issues Strong proficiency in at least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control Strong understanding of data modelling and system architecture Excellent problem-solving and analytical skills Experience in consultancy or working with clients/external partners will be considered Whats In It For You: Accenture offers a competitive basic salary plus an extensive benefits package including 25 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work.
Flexibility and mobility are required to deliver this role, with onsite work at client sites as needed.
Accenture is a leading global professional services company, providing services across strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services.
We bring industry expertise and next-generation technology to each business challenge, powered by a global network of Advanced Technology and Intelligent Operations centres.
With 509,000 people serving clients in more than 120 countries, Accenture aims to deliver continuous innovation and lasting value.
Visit Accenture is an equal opportunities employer and does not discriminate on grounds of race, religion or belief, ethnicity, disability, age, citizenship, marital or civil partnership status, sexual orientation, gender identity, or any other basis as protected by law.
Closing Date for Applications: 30 September 2025 Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Seniority level Employment type Job function Industries New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers The artificial intelligence job market in the UK is evolving at an extraordinary pace.
With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly.
For candidates exploring opportunities on understanding who is hiring next is just as important as understanding what skills are in demand.
In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint.
From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.
How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools.
Every week there is a new framework, a new must-learn platform or a new productivity app that everyone on LinkedIn seems to be using.
The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes.
Here is the truth most hiring managers will quietly agree with.
They do not hire you because you know 27 tools.
They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback.
Tools matter, but only in service of outcomes.
So how many AI tools do you actually need to know?

For most AI job seekers: fewer than you think.
You need a tight core toolkit plus a role-specific layer.
Everything else is optional.
This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.
What Hiring Managers Look for First in AI Job Applications (UK Guide) Hiring managers do not start by reading your CV line-by-line.
They scan for signals.
In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems.
The best applications make those signals obvious in the first 1020 seconds.
This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked.

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Use it as a checklist to tighten your application before you click apply.
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Required Skill Profession

Information Technology