At a Glance
- Tasks: Deploy machine learning models and implement data pipelines for innovative projects.
- Company: Join Accenture, a leading global professional services company with a culture of innovation.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible work locations with opportunities for career growth and development.
- Why this job: Make an impact with cutting-edge technology while working in a dynamic team environment.
- Qualifications: Proficiency in Python and experience with cloud platforms and data engineering best practices.
The predicted salary is between 50000 - 65000 £ per year.
**Deadline date:**
**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)
Please Note: Any offer of employment is subject to satisfactory BPSS and DV security clearance which typically requires 10 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.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
**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**
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 Python
- 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
- 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
- A good understanding of approaches to monitoring ML models in production
- Experience leading a team and decision making skills, are essential
As a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to:
- Communicate effectively verbally and in writing, demonstrated through:
- Effectively explain complex technical solutions to a non-technical audience
- Writing meaningfully to deliver clear information, and guidance
- Giving impactful presentations, articulating clearly key points
- Demonstrate critical thinking by:
- Analysing and evaluating information
- Using information gathered to present solutions and reach decisions
- Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems
- Work in partnership with others to:
- Effectively manage both internal and external stakeholders to ensure synergy
- Collaborate meaningfully with all parties to ensure outcomes are reached effectively
**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.
**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.
Data Engineer employer: Eworker
At Safran, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Cwmbran, South Wales, where innovation and collaboration thrive. Our commitment to employee growth is evident through extensive training opportunities, a supportive culture that values diversity, and a comprehensive benefits package including generous holiday allowances and private medical cover. Join us in crafting excellence together as we lead the way in aerospace technology and create a sustainable future for all.
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
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Eworker, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eworker. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Eworker
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Eworker!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.