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- Tasks: Design and maintain scalable data pipelines for impactful analytics.
- Company: Join a forward-thinking consultancy focused on inclusivity and innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real difference in the utilities industry with cutting-edge data solutions.
- Qualifications: Strong skills in SQL, Python, and familiarity with data tools.
The predicted salary is between 50000 - 70000 £ per year.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more.
Are you passionate about data and eager to make a difference in the utilities industry? Our client is searching for a talented Data Engineer to join their dynamic team! If you thrive in a collaborative environment and are ready to contribute to cutting-edge data solutions, we want to hear from you!
Role: Data Engineer
Location: Remote (must be prepared to travel to Bristol 1 - 2 days a month)
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.
- Build scalable, secure, and efficient data pipelines, ensuring that data is accessible and of the highest quality.
- Help shape the data engineering roadmap, aligning solutions with business priorities and technical strategies.
- 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.
- Implement data governance and security standards, ensuring adherence to regulatory requirements.
- 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.
- Stay updated on industry trends to continuously enhance data engineering capabilities.
Skills Required:
- Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow.
- Experience with AWS, Azure, or GCP is a plus.
- Strong grasp of data modeling, schema design, and data warehousing concepts.
- Knowledge of data governance and privacy frameworks.
- Understanding of Agile methodologies and DevOps practices.
- Relevant bachelor's or master's degree or technology certifications are essential.
It's an opportunity to impact the future of data engineering in the utilities sector. Join our client and help shape the future of data engineering!
Ingegnere dei dati (f/m) in Bristol employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 data projects, whether it's a GitHub repo or a personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Ingegnere dei dati (f/m) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your skills in SQL, Python, and any experience with tools like Apache Spark or Kafka. We want to see how your unique experience aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our client's mission in the utilities industry. Let us know why you're excited about this opportunity and how you can make a difference.
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Include links or descriptions of your work that demonstrate your ability to build scalable data pipelines and implement data governance standards. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Pontoon
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any tools like Apache Spark or Kafka. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the role.
✨Understand the Company’s Needs
Research the company and its position in the utilities industry. Understand their data challenges and think about how your skills can help solve them. This will demonstrate your enthusiasm and alignment with their goals.
✨Prepare for Collaboration Questions
Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work in a team-oriented environment.
✨Showcase Your Continuous Learning
Stay updated on industry trends and advancements in data engineering. Mention any recent courses or certifications you've completed, especially those related to AWS, Azure, or GCP, to show your commitment to professional growth.