Data Engineering Consultant
Data Engineering Consultant

Data Engineering Consultant

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Engineering Consultant to build and optimise data pipelines.
  • Company: Accenture is a global leader in professional services, driving innovation across industries.
  • Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charity work!
  • Why this job: Be part of a diverse team that values inclusion and makes a real impact.
  • Qualifications: Strong coding skills in Python, Java, or Scala; cloud experience is a plus.
  • Other info: Flexible working required; opportunities available from junior to senior levels.

The predicted salary is between 43200 - 72000 £ per year.

Find out more about this role by reading the information below, then apply to be considered.

Locations: London/Bristol/Manchester

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 (typically including no periods of 30 consecutive days or more spent outside of the UK).

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
  • Strong understanding of data modelling and system architecture
  • Excellent problem-solving and analytical skills
  • 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.

    Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

    Data Engineering Consultant employer: Accenture

    Accenture is an exceptional employer, offering a dynamic work culture that prioritises inclusion and diversity while fostering personal and professional growth. With competitive salaries, an extensive benefits package including 25 days of vacation and additional leave for charitable work, employees in London, Bristol, or Manchester can thrive in an environment that values innovation and collaboration. Join us to make a meaningful impact with cutting-edge technology and a supportive team dedicated to excellence.
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    Contact Detail:

    Accenture Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Data Engineering Consultant

    ✨Tip Number 1

    Familiarise yourself with the specific technologies mentioned in the job description, such as ETL pipelines and cloud platforms like AWS, GCP, or Azure. Having hands-on experience or projects showcasing these skills can set you apart during discussions.

    ✨Tip Number 2

    Engage with the data engineering community through forums, webinars, or local meetups. Networking can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing an interview.

    ✨Tip Number 3

    Prepare to discuss your problem-solving approach and analytical skills in detail. Be ready to share examples of how you've tackled data issues or optimised data flows in previous roles, as this aligns closely with the responsibilities outlined.

    ✨Tip Number 4

    Research Accenture's culture and values, particularly their commitment to inclusion and diversity. Being able to articulate how your personal values align with theirs can make a strong impression during interviews.

    We think you need these skills to ace Data Engineering Consultant

    Proficiency in Python, Java, or Scala
    Experience with cloud platforms (AWS, GCP, or Azure)
    Data warehousing and lake architectures
    ETL/ELT pipeline development
    SQL and NoSQL databases
    Distributed computing frameworks (Spark, Kinesis)
    Software development best practices (CI/CD, TDD, version control)
    Strong understanding of data modelling
    System architecture knowledge
    Problem-solving skills
    Analytical skills
    Experience in agile environments
    Ability to document and iterate data mappings
    Experience in client-facing roles

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineering Consultant role. Focus on your proficiency in programming languages like Python, Java, or Scala, and any experience with cloud platforms such as AWS, GCP, or Azure.

    Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Accenture's values. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work in an agile environment.

    Highlight Relevant Projects: Include specific examples of past projects where you implemented ETL pipelines, worked with large datasets, or developed data models. This will help illustrate your hands-on experience and technical expertise.

    Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

    How to prepare for a job interview at Accenture

    ✨Showcase Your Technical Skills

    Make sure to highlight your proficiency in programming languages like Python, Java, or Scala. Be prepared to discuss your experience with cloud platforms such as AWS, GCP, or Azure, and provide examples of how you've implemented ETL pipelines or worked with data warehousing.

    ✨Demonstrate Problem-Solving Abilities

    Accenture values strong analytical skills. Prepare to discuss specific challenges you've faced in previous roles and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

    ✨Understand Agile Methodologies

    Since you'll be operating in an agile environment, familiarise yourself with scrum practices and be ready to discuss your experience in participating in sprint rituals. Highlight any roles you've played in team collaboration and project delivery.

    ✨Emphasise Communication Skills

    As a Data Engineering Consultant, you'll need to work closely with clients and team members. Be prepared to demonstrate your ability to communicate complex technical concepts clearly and effectively, showcasing your experience in client-facing roles if applicable.

    Data Engineering Consultant
    Accenture
    A
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