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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines to support analytics and decision-making.
- Company: Join a forward-thinking team in the utilities sector focused on innovation.
- Benefits: Competitive daily rate, remote work flexibility, and opportunities for professional growth.
- Other info: Opportunity for continuous improvement and career advancement in a dynamic setting.
- Why this job: Make a real impact on data engineering and drive innovation in a collaborative environment.
- Qualifications: Experience with MongoDB, SQL, Python, and knowledge of cloud platforms.
The predicted salary is between 46800 - 62400 £ per year.
Duration: 6 Months (multiple extension options)
Location: Remote (must be prepared to travel to Bristol 1 - 2 days a month)
Rate: 650 pd (umbrella)
About the Role
As a Data Engineer, you will report directly to the Lead Data Engineer and play a pivotal role in designing and maintaining scalable data pipelines. Your expertise will ensure data availability, quality, and performance, supporting key analytics and operational decision-making. This is an exciting opportunity to drive innovation and foster a culture of agility within the organization.
Key Accountabilities
- Design & Develop: Build scalable, secure, and efficient data pipelines, ensuring that data is accessible and of the highest quality.
- Roadmap Contribution: Help shape the data engineering roadmap, aligning solutions with business priorities and technical strategies.
- Workflow Optimization: Leverage automation and best practices to enhance performance and cost efficiency.
- Collaboration: Work closely with Data Science, Insight, and Governance teams to enable data-driven decision-making across the organization.
- Governance & Compliance: Implement data governance and security standards, ensuring adherence to regulatory requirements.
- Continuous Improvement: Identify risks and ensure ongoing enhancement of data engineering processes.
- Lifecycle Management: Monitor the data pipeline lifecycle from design to post-deployment performance analysis.
- Vendor Engagement: Collaborate with third-party vendors to ensure alignment with project requirements and timelines.
- Emerging Technologies: Stay updated on industry trends to continuously enhance data engineering capabilities.
- Documentation: Maintain clear technical processes to ensure knowledge sharing within the team.
What We're Looking For
- Experience with MongoDB: Essential for this role!
- Technical Proficiency: Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow.
- Cloud Knowledge: Experience with AWS, Azure, or GCP is a plus.
- Data Understanding: Strong grasp of data modeling, schema design, and data warehousing concepts.
- Compliance Awareness: Knowledge of data governance and privacy frameworks (e.g., GDPR, ISO27001).
- Agile Advocate: Understanding of Agile methodologies and DevOps practices.
Qualifications
Relevant bachelor's or master's degree or technology certifications are essential.
Why Join Us
This is more than just a job; it's an opportunity to impact the future of data engineering in the utilities sector. You will be part of a team that values collaboration, innovation, and continuous improvement. If you are ready to take on this challenge and contribute to a culture of agility, we encourage you to apply!
Data Engineer in Gloucester employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Gloucester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. 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 MongoDB, SQL, and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of data governance. Be ready to discuss how you've implemented best practices in past roles and how you can contribute to our agile culture.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team and making an impact in the data engineering space.
We think you need these skills to ace Data Engineer in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MongoDB and the technical skills mentioned in the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for data engineering and how you can contribute to our team. Let us know why you're excited about this role and how you can drive innovation at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, don't hesitate to mention them! We love seeing practical examples of your skills in action, especially those involving data pipelines and cloud technologies.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. This way, we can easily track your application and get back to you quickly. We can't wait to hear from you!
How to prepare for a job interview at Pontoon
✨Know Your Tech Stack
Make sure you brush up on your skills with MongoDB, SQL, Python, and any tools like Apache Spark or Kafka. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed and optimised data pipelines in previous roles. Think about specific challenges you faced and how you overcame them, as this will demonstrate your ability to contribute to the team's goals.
✨Understand Data Governance
Familiarise yourself with data governance frameworks like GDPR and ISO27001. Be prepared to discuss how you’ve implemented compliance measures in your work, as this is crucial for the role and shows you take data security seriously.
✨Embrace Agile Methodologies
Since the company values agility, be ready to talk about your experience with Agile practices and DevOps. Share how you've collaborated with cross-functional teams to drive projects forward, as this will highlight your teamwork and adaptability.