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- Tasks: Design and develop data pipelines, oversee ETL operations, and ensure data integrity.
- Company: Join a prestigious professional services company in the heart of London.
- Benefits: Enjoy 28 days holiday and flexible remote working options.
- Why this job: Be part of a dynamic team, work on diverse projects, and grow your skills.
- Qualifications: 2-3 years experience in data engineering, strong analytical skills, and expertise in Python and Azure Synapses.
- Other info: This is a newly created role with opportunities for mentorship and leadership.
The predicted salary is between 48000 - 72000 £ per year.
A dynamic and prestigious professional services company based in the heart of the City of London is seeking a talented Data Engineer to join their team in this newly created role. This multifaceted position offers an exceptional opportunity for an experienced professional to work broadly across the business, planning, developing and implementing data solutions.
The main focus of the role will include:
- Designing and developing data pipelines for the preparation, transformation and loading of data into the appropriate data storage systems, following standard medallion architecture principles.
- Overseeing ETL (Extract, Transform, Load) operations to ensure data from various sources is accurately transformed and loaded into data stores.
- Implementing data quality checks, validation rules, and profiling techniques to maintain high data integrity.
- Working on data cleansing and normalisation to ensure data usability for business reporting and analysis purposes.
- Communicating technical concepts to non-technical team members ensuring alignment on project goals and data strategies.
- Optimising data models for performance and scalability.
- Troubleshooting and resolving data-related issues ensuring systems and pipelines run smoothly.
- Leading smaller projects or part of larger projects involving planning, execution and reporting.
- Supporting code reviews, mentoring team members and guiding project tasks.
- Participating in design and implementation of data warehousing solutions as required to meet business needs.
- Adhering to architecture, design, implementation, and security standards and best practices.
- Preparing technical documentation, including data flow, data storage design, test results, and technical manuals.
- Ensuring data consistency and integrity during the integration process, performing data validation and cleaning as needed.
To succeed in this role, the individual will need:
- Strong analytical skills and a curious mindset.
- Excellent communication and collaboration skills.
- Ability to work in a dynamic, fast-paced environment.
- Growth mindset and a willingness to learn new skills, technologies, and frameworks.
- Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
- An expert working knowledge of Python and Azure Synapses.
- 2 - 3 years experience of working within a data analyst / engineering capacity.
This is a fantastic opportunity for an individual looking to be an SME to a business and operate broadly across a multitude of projects. The successful candidate can expect a generous benefits package which includes 28 days holiday and a remote working situation.
APPLY TODAY FOR FURTHER INFORMATION!
Senior Data Engineer (United Kingdom) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest data engineering tools and technologies, especially Python and Azure Synapses, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who work in similar roles. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous experience with ETL processes and data quality checks during interviews. Be ready to share specific examples of how you've implemented data solutions and resolved data-related issues in past roles.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex technical concepts in simple terms. This will be essential when discussing project goals with non-technical team members, so consider role-playing scenarios with friends or mentors.
We think you need these skills to ace Senior Data Engineer (United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Python and Azure Synapses. Use specific examples of projects where you've designed data pipelines or overseen ETL operations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your analytical skills and experience align with the job requirements, and provide examples of how you've successfully communicated technical concepts to non-technical stakeholders.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will demonstrate your hands-on experience and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Placed
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where your analytical skills have made a significant impact. Highlight projects where you successfully designed data pipelines or implemented ETL processes, as this will resonate well with the interviewers.
✨Communicate Clearly
Since the role requires translating complex technical concepts to non-technical team members, practice explaining your past projects in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Demonstrate Your Growth Mindset
Be ready to talk about new technologies or frameworks you've learned recently. Share how you approach learning and adapting in a fast-paced environment, as this aligns with the company's dynamic culture.
✨Prepare for Technical Questions
Brush up on your knowledge of Python and Azure Synapses, as these are crucial for the role. Be prepared to answer technical questions or even solve problems on the spot to showcase your expertise.
