At a Glance
- Tasks: Build and optimise data pipelines using Python, SQL, and machine learning techniques.
- Company: Join Accenture, a global leader in professional services and technology innovation.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible work options and excellent career growth opportunities await you.
- Why this job: Make an impact with cutting-edge technology while working in a dynamic, agile environment.
- Qualifications: Proficiency in Python or Java, experience with cloud platforms, and strong problem-solving skills.
The predicted salary is between 28800 - 43200 £ per year.
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.
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:
- 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 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.
Data Engineer - (Python, SQL, Machine Learning) - Robotics in Dungannon employer: Accenture
Accenture is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a competitive salary and a comprehensive benefits package, including generous vacation time and opportunities for charitable work, employees are encouraged to grow both personally and professionally. The company's commitment to diversity and inclusion, along with its focus on cutting-edge technology and consultancy, makes it an ideal place for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - (Python, SQL, Machine Learning) - Robotics in Dungannon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - (Python, SQL, Machine Learning) - Robotics in Dungannon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. 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 background makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical applications of your skills, especially in ETL pipelines or data modelling.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Accenture
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any relevant machine learning concepts. Brush up on your ETL pipeline knowledge and be ready to discuss how you've implemented data flows in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Familiarise with Agile Methodologies
Since the role involves working in a scrum team, be ready to discuss your experience with agile practices. Mention any specific roles you've played in sprints and how you’ve contributed to team rituals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and the technologies they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
