At a Glance
- Tasks: Deploy machine learning models and implement data pipelines for innovative projects.
- Company: Join a leading tech firm with a focus on AI and data engineering.
- Benefits: Enjoy competitive salary, 25 days vacation, and private medical insurance.
- Other info: Flexible work environment with opportunities for charitable engagement.
- Why this job: Make an impact in the AI space while working with cutting-edge technologies.
- Qualifications: Strong Python skills and experience with cloud platforms required.
The predicted salary is between 60000 - 80000 £ per year.
Salary: Competitive salary and package (Depending on level of experience)
Locations: London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout the UK on an ad hoc basis)
Employment offer subject to satisfactory BPSS and DV security clearance, with 10 years continuous UK address history and declaration of being a British passport holder with no dual nationality at the point of application.
Key responsibilities
- Deploy machine learning models to production and implement measures to monitor their performance
- 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
- Stay engaged with the latest technological developments, especially in the fields of generative AI
Qualifications
- Strong proficiency in Python
- Extensive experience with cloud platforms (AWS, GCP, or Azure)
- Experience with data warehousing and lake architectures
- Experience with ETL/ELT pipeline development
- Experience with SQL and NoSQL databases
- Experience with distributed computing frameworks (Spark, Kinesis, etc)
- Experience with software development best practices including CI/CD, TDD and version control
- Experience with containerisation tools like Docker or Kubernetes
- Experience with infrastructure as code tools (e.g. Terraform or CloudFormation)
- Strong understanding of data modelling and system architecture
- Demonstrable experience on at least one AI/ML project
- Knowledge of common machine learning frameworks and models
- Good understanding of approaches to monitoring ML models in production
- Experience leading a team and decision making skills
- Excellent communication skills – ability to explain complex technical solutions to non-technical audience, effectively write clear information, and deliver impactful presentations
- Critical thinking skills – analyse and evaluate information, present solutions and reach decisions, familiarity with a breadth of technologies
- Collaboration skills – manage internal and external stakeholders, collaborate meaningfully to achieve outcomes
Benefits
- Competitive basic salary
- 25 days’ vacation per year
- Private medical insurance
- 3 extra days leave per year for charitable work
Flexibility and mobility required to deliver this role, including onsite engagement with clients and partners.
Equal Opportunities
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.
Contact Details:
Accenture Careers and Employment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
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We think you need these skills to ace Data Engineer
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