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- Tasks: Build and optimise data pipelines using the latest technologies in a collaborative environment.
- Company: Join Accenture, a global leader in professional services with a focus on innovation.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make a real impact by working with cutting-edge AI and data solutions.
- Qualifications: Proficiency in programming languages and experience with cloud platforms are essential.
- Other info: Flexible work environment with opportunities for career growth and continuous learning.
The predicted salary is between 28800 - 48000 £ per year.
Locations: 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 typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application.
Key Responsibilities:
- 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.
Qualifications:
We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below:
- 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.
What’s in it for you:
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for.
Closing Date for Applications: 30th September 2025. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Data Engineer with AI Experience employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer with AI Experience
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience with data engineering and AI.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company culture and values, and align your application to show how you fit in with their mission and goals.
✨Tip Number 4
Keep an eye on our website for the latest job postings. Applying directly through our site can give you a better chance of being noticed, plus it shows your genuine interest in joining our team!
We think you need these skills to ace Data Engineer with AI Experience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL pipelines, cloud platforms, and programming languages like Python or Java. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your experience aligns with our values at Accenture. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you can easily keep track of your application status there!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and cloud platforms mentioned in the job description. Brush up on Python, Java, or Scala, and be ready to discuss your experience with AWS, GCP, or Azure. This shows you’re not just familiar but can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Whether it’s data quality problems or database issues, having specific scenarios ready will demonstrate your analytical skills and ability to think on your feet.
✨Understand Agile Methodologies
Since the role involves working in an agile environment, be prepared to discuss your experience with scrum teams and sprint rituals. Highlight any relevant projects where you’ve contributed to agile processes, as this will show you can adapt to their workflow.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team dynamics, ongoing projects, or the company’s approach to innovation. This not only shows your interest but also helps you gauge if the company culture aligns with your values.