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- Tasks: Lead the development of secure data platforms using cutting-edge technologies.
- Company: Join a growing tech company specializing in data-enabling products for various sectors.
- Benefits: Enjoy fully remote work, a competitive salary, and excellent benefits including a pension scheme.
- Why this job: Be part of a dynamic team solving real-world data challenges while enhancing your skills.
- Qualifications: Experience with data pipelines, AWS, and programming languages like Python is essential.
- Other info: Ideal for those passionate about data engineering and looking to make an impact.
The predicted salary is between 64800 - 108000 £ per year.
Lead Data Engineer (AWS)
Permanent – Up to £108,000 per annum plus excellent benefits and pension scheme.
Fully remote working
Digital Skills are working with a growing tech company that builds and provides tools and services to a range of end clients. The company specializes in designing, building and continuously improving data-enabling products within highly governed sectors.
We are currently recruiting for a Data Engineer who will assist in the development of a secure batch/Real Time data platform for a number of clients leveraging the latest commercial and open-source technologies.
This involves getting data from a variety of different sources, getting it into the right format, assuring alignment to target models, and ensuring that data can be made available to downstream consumers.
Responsibilities;
- Code, test, and document new or modified data pipelines that meet functional/non- functional business requirements
- Conduct logical and physical database design
- Expand and grows data platform capabilities to solve new data and analytics problems
- Conduct data analysis, identifying feasible solutions and enhancements to data processing challenges
- Ensure that data models are consistent with the data architecture (eg entity names, relationships and definitions)
- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Qualifications needed;
- Data pipeline development using data processing technologies and frameworks
- Agile or other rapid application development methods
- Datamodelling and understanding of different data structures and their benefits and limitations under particular use cases
- Experience in Public Cloud services, such as AWS. Practical experience with core services such as EC2, RDS, Lambda, Athena & Glue would be even better!
- Configuring and tuning Relational and NoSQL databases, including both query processing and query planning, or other data processing infrastructure
- Programming or Scripting languages, such as Python
- Exposure to Kafka would be ideal.
- Test Driven Development with appropriate tools and frameworks
Please don't hesitate to apply if this role seems right for you.
Senior Data Engineer employer: Digital Skills ltd
Contact Detail:
Digital Skills ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with AWS services like EC2, RDS, Lambda, Athena, and Glue. Highlight specific projects where you've utilized these technologies to demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in data pipeline development and be ready to discuss how you've implemented Agile methodologies in your previous roles. This will show that you can adapt to the fast-paced environment of our tech company.
✨Tip Number 3
Prepare to talk about your experience with data modeling and the different data structures you've worked with. Be ready to explain how you've solved data processing challenges in the past, as this is crucial for the role.
✨Tip Number 4
If you have experience with Kafka, make sure to mention it! Even if it's not a primary requirement, it can set you apart from other candidates and show your versatility in handling real-time data processing.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and qualifications required for the Senior Data Engineer position, especially focusing on AWS services and data pipeline development.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, particularly with AWS and data processing technologies. Make sure to include specific projects or achievements that demonstrate your skills in coding, testing, and documenting data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the requirements of the role. Emphasize your experience with data modeling, cloud services, and any exposure to Kafka, as well as your problem-solving abilities in data processing challenges.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Digital Skills ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipeline development and the specific technologies mentioned in the job description, such as AWS services like EC2, RDS, Lambda, Athena, and Glue. Highlight any projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and ability to troubleshoot data processing challenges. Prepare examples of how you've conducted root cause analysis and identified opportunities for improvement in past roles.
✨Understand Data Modeling
Familiarize yourself with different data structures and their use cases. Be ready to explain how you ensure data models align with data architecture and how you've handled data consistency in previous projects.
✨Emphasize Agile Methodologies
Since the role involves rapid application development, be prepared to discuss your experience with Agile methodologies. Share examples of how you've worked in Agile teams and adapted to changing requirements effectively.
