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- Tasks: Lead data engineering projects, ensuring quality and governance for client solutions.
- Company: Accenture is a global leader in professional services, known for innovation and diversity.
- Benefits: Enjoy competitive salary, training opportunities, and a vibrant work culture with remote options.
- Why this job: Join a dynamic team, work with cutting-edge tech, and drive impactful change in cloud technologies.
- Qualifications: Mid-level experience in data engineering, familiarity with agile methodologies and open-source stacks required.
- Other info: Security clearance needed; must have 5 years of continuous UK address history.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Data Eng, Mgmt & Governance Team Lead/Consultant | Mid-Level | Full time Cloud Data Engineer Location : Bristol, UK Salary : Competitive Salary + Package (dependent on experience) Career Level: Specialist Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which requires 5 years of continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. Accenture is a leading global professional services company, providing services in strategy and consulting, interactive, technology, and operations, with digital capabilities across all of these. We apply industry expertise, diverse skill sets, and next-generation technology to each business challenge. We value inclusion and diversity, supporting the whole person. Our core values include Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Accenture is recognized worldwide for both business performance and inclusion and diversity. \”Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and communities.\” – Julie Sweet, Accenture CEO As a team: We have exciting opportunities for a Data Engineer to join our Data & AI practice, part of the larger Cloud First Group. We deliver scalable, business-critical, end-to-end solutions for our clients—from data strategy and governance to core engineering—enabling transformation in Cloud Technologies. You will have the opportunity to learn, grow, and advance in an innovative culture that thrives on shared success, diverse thinking, and boundaryless opportunities to drive your career forward. If you\’re seeking a challenging career in a vibrant environment with access to training and a global network of experts, this could be the role for you. Working with cutting-edge technologies, you\’ll develop a wide range of new skills on the job. In our team, you will: Support data profiling, ingestion, collation, and storage for critical client projects. Enhance your knowledge of agile methodologies and open-source stacks (PySpark/PySQL). Utilize delivery assets to plan and implement quality initiatives ensuring solution quality throughout delivery. As a Data Engineer, you will: Analyze data requirements, gather, and validate large-scale structured data through profiling. Design and develop ETL mechanisms to ingest, analyze, validate, normalize, and clean data. Implement data quality procedures to visualize data and derive business insights. Support data management standards, including data anonymization. Develop best practices and contribute to data analytics insights, visualization concepts, methods, and techniques. Discover where this job fits at Accenture Software developer jobs: Change the game From designing games to creating game-changing products, the possibilities are endless with careers in programming languages. Learn more about the hiring process at Accenture #J-18808-Ljbffr
Data Eng, Mgmt & Governance Team Lead/Consultant employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Eng, Mgmt & Governance Team Lead/Consultant
✨Tip Number 1
Familiarise yourself with the latest cloud technologies and data engineering tools, especially those mentioned in the job description like PySpark and PySQL. This will not only boost your confidence but also show your potential employer that you're proactive and up-to-date with industry standards.
✨Tip Number 2
Network with current or former employees of Accenture, particularly those in the Data & AI practice. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which can be a great advantage during interviews.
✨Tip Number 3
Prepare to discuss your experience with data governance and management standards, as these are crucial for the role. Think of specific examples where you've implemented data quality procedures or worked on data anonymisation projects to demonstrate your expertise.
✨Tip Number 4
Showcase your understanding of agile methodologies during your interactions with the hiring team. Being able to articulate how you've applied agile principles in past projects can set you apart as a candidate who is adaptable and ready to thrive in a dynamic work environment.
We think you need these skills to ace Data Eng, Mgmt & Governance Team Lead/Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position. Familiarise yourself with key terms like ETL mechanisms, data profiling, and agile methodologies to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data management, cloud technologies, and any relevant projects you've worked on. Use specific examples that demonstrate your skills in data ingestion, validation, and quality procedures.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also reflects your understanding of Accenture's values, such as inclusion and diversity. Show how your personal values align with theirs and express your enthusiasm for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is accurate and up-to-date. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Accenture
✨Understand the Role
Make sure you have a clear understanding of the responsibilities and expectations for the Data Engineer position. Familiarise yourself with data profiling, ETL processes, and agile methodologies, as these are key components of the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with relevant technologies such as PySpark and PySQL. Highlight specific projects where you've successfully implemented data solutions, and be ready to explain your thought process and problem-solving approach.
✨Demonstrate Your Soft Skills
Accenture values inclusion and diversity, so it's important to showcase your ability to work collaboratively in a team. Share examples of how you've contributed to team success and navigated challenges in previous roles.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask your interviewers about the company culture, team dynamics, and opportunities for growth within the Data & AI practice. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
