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- Tasks: Lead and develop cutting-edge data engineering platforms using modern tools.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data pipelines and driving tech solutions.
- Qualifications: Proven experience with Hadoop, Spark, Python, and data integration skills.
- Other info: Dynamic team environment with a focus on agile methodologies and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas:
- Extensive enterprise experience with Hadoop, Spark, and Splunk.
- Proficiency in object-oriented and functional scripting, particularly in Python.
- Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
- Experience integrating large, disparate datasets using modern tools and frameworks.
- Strong background in building and optimizing ETL/ELT data pipelines.
- Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.
- Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.
- Ability to pair program and work effectively with other engineers.
- Excellent analytical and problem-solving abilities.
- Knowledge of agile methodologies such as Scrum or Kanban is a plus.
- Comfortable representing the team in standups and problem-solving sessions.
- Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
- Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.
- Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.
Locations
Lead Data Engineer in Sheffield, Yorkshire employer: VALLUM ASSOCIATES LIMITED
Contact Detail:
VALLUM ASSOCIATES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Sheffield, Yorkshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Hadoop, Spark, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ETL/ELT pipelines and how you've collaborated with BI teams in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We regularly update our job listings, and applying directly can give you a better chance of landing that Lead Data Engineer position. Plus, we love seeing familiar faces!
We think you need these skills to ace Lead Data Engineer in Sheffield, Yorkshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Hadoop, Spark, and Splunk. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on expertise in data engineering platforms.
Showcase Your Projects: Include specific examples of projects where you've built and optimised ETL/ELT data pipelines. We love seeing real-world applications of your skills, especially if you’ve integrated large datasets using modern tools.
Highlight Collaboration Skills: Since we value teamwork, mention any experiences where you’ve supported BI and Analytics teams or collaborated with other engineers. It’s all about showing us how you can work effectively in a fast-paced environment.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data engineering shines through without unnecessary fluff!
How to prepare for a job interview at VALLUM ASSOCIATES LIMITED
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Hadoop, Spark, and Splunk. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you led data engineering initiatives.
✨Showcase Your Scripting Skills
Since Python is key for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges that involve object-oriented and functional scripting.
✨Talk Data Integration
Be prepared to discuss your experience with integrating large datasets. Think about the tools and frameworks you've used, and be ready to explain how you tackled challenges in handling raw, structured, and unstructured data.
✨Emphasise Collaboration and Agile Experience
Highlight your experience working with BI and Analytics teams, especially in fast-paced environments. If you've worked in agile settings, share how you contributed to standups and problem-solving sessions, as this will show your ability to work well with others.