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- Tasks: Join our Data & Analytics team to develop and automate data ingestion flows.
- Company: Robert Walters is a leading recruitment consultancy with a focus on professional development.
- Benefits: Enjoy hybrid working, competitive salary, and ongoing training opportunities.
- Why this job: Be part of an innovative team shaping the future of data analytics.
- Qualifications: Experience with Big Data stack and cloud environments is essential.
- Other info: This role offers permanent employment with exciting project-based work.
The predicted salary is between 40000 - 60000 £ per year.
1 week ago Be among the first 25 applicants Direct message the job poster from Robert Walters Redhill, Surrey – hybrid working (2-3 days pw in office) Up to £62,500 + 5% annual performance related bonus We have an exciting new opportunity for a Data Engineer to join Robert Walters as a Consultant. As an employed Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an interim or project basis into our clients\’ organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional accreditations. Reporting into the Head of Data & Analytics, this role sits in the Data & Analytics team alongside Data Developers and Data Engineers. Key Responsibilities: Development and automation of ingestion flows, data curation and access layers Define technical solutions and take part in the development and deployment of applications in accordance with central standard and guidelines Contribute to the improvement of standards, compliance and processes to guide Data Lake evolution Design, develop, test and deploy data ingestion flows, data marts and core target data components Implement tools and end-to-end monitoring to ensure high availability of production data processing, data quality and reliability Maintenance of data transformation routes in the Data Lake Maintenance of BAU including reporting regularly on performance, risks and issues Key Skills: Experience working within multi-disciplinary data teams Fluent with the Big Data stack in cloud environment (ADLS, Databricks, ADF, Azure DevOps etc) Knowledge and experience of reporting solution design including Azure platforms, Pegasus, Attunity, Wax, R, SQL, Python, Spark, Power BI, Business Objects Proficient in RESTful API design, implementation and consumption You have a deep understanding of data lake technologies, interrogation of structures and unstructured data, data warehouse and data schema design for optimised reporting performance You have a very good understanding of spark processes You have a good understanding of the software development process (git, ci/cd etc.) Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Staffing and Recruiting and Insurance Referrals increase your chances of interviewing at Robert Walters by 2x Sign in to set job alerts for “Data Engineer” roles. London, England, United Kingdom 1 week ago London, England, United Kingdom £50,000.00-£60,000.00 1 month ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago Software Engineer-Full stack (All Levels) London, England, United Kingdom 4 weeks ago London, England, United Kingdom 11 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 5 months ago London, England, United Kingdom 5 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 6 months ago London, England, United Kingdom £35,000.00-£50,000.00 1 month ago Feltham, England, United Kingdom 4 days ago London, England, United Kingdom 2 days ago London, England, United Kingdom 4 months ago London, England, United Kingdom 1 week ago London Area, United Kingdom £55,000.00-£65,000.00 1 month ago Greater London, England, United Kingdom 1 month ago Greater London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 hours ago London, England, United Kingdom 6 days ago London, England, United Kingdom 3 days ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago London, England, United Kingdom 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Data Engineer employer: Robert Walters
Contact Detail:
Robert Walters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure DevOps, Databricks, and Spark. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in similar roles at Robert Walters. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data ingestion flows and data lake technologies in detail. Be ready to share specific examples of how you've contributed to similar projects, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Showcase your understanding of the software development process, particularly CI/CD practices. Being able to articulate how you’ve implemented these processes in past roles will highlight your technical proficiency and alignment with the team's workflow.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in data engineering, cloud environments, and any specific tools mentioned like Azure, SQL, and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your previous experiences have prepared you for the responsibilities outlined in the job description.
Highlight Key Skills: In your application, emphasise your proficiency with the Big Data stack and your experience with RESTful API design. Use specific examples to demonstrate your knowledge of data lake technologies and software development processes.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Robert Walters
✨Showcase Your Technical Skills
Make sure to highlight your experience with the Big Data stack and cloud environments during the interview. Be prepared to discuss specific projects where you've used tools like Azure DevOps, Databricks, and SQL, as this will demonstrate your hands-on expertise.
✨Understand the Role's Responsibilities
Familiarise yourself with the key responsibilities of a Data Engineer, such as data ingestion flows and data curation. Being able to articulate how your previous experiences align with these tasks will show that you are well-prepared and genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Brush up on your knowledge of data lake technologies and be ready to explain how you would approach common challenges in data processing and quality assurance.
✨Demonstrate Team Collaboration
Since the role involves working within multi-disciplinary teams, be ready to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and ability to work effectively in a team setting.
