At a Glance
- Tasks: Design and build scalable data solutions for a modern cloud data platform.
- Company: Join a forward-thinking organisation with a focus on innovation and collaboration.
- Benefits: Competitive salary, private healthcare, training, and flexible work arrangements.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Play a key role in shaping the future of data analytics and AI initiatives.
- Qualifications: Experience with data pipelines, strong SQL and Python skills, and Snowflake knowledge.
The predicted salary is between 60000 - 70000 £ per year.
Data Engineer Harrogate - 1 Day a week on-site £60,000 - £70,000 + Private Healthcare + Training
Are you a Data Engineer looking to play a key role in building and evolving a modern cloud data platform that underpins reporting, insight, and future AI initiatives across a large, complex organisation? This is an opportunity to join a central Group Data Team delivering a cloud-based Lakehouse platform, working with batch, micro-batch and streaming data pipelines.
You will be responsible for designing, building, and supporting scalable data solutions that enable trusted analytics and decision-making across the business. Working closely with data analysts, infrastructure teams, and software developers, you will translate architectural designs into robust, production-ready pipelines. You will contribute to data modelling, quality, and governance while helping to mature the data platform and its supporting processes.
This role suits a technically strong Data Engineer who enjoys collaborating with stakeholders, producing high-quality documentation, and working across the full data lifecycle in a cloud-first environment.
The Role:- Design and implement ETL and ELT data pipelines using cloud-native tools
- Develop and maintain data models and curated data products in Snowflake
- Build and support batch, micro-batch, and streaming pipelines
- Collaborate with infrastructure and development teams to deliver optimised solutions
- Maintain metadata, data quality standards, and platform documentation
- Experience building data pipelines using tools such as AWS Glue, FiveTran, and DBT
- Strong SQL and Python skills with hands-on Snowflake experience
- Solid understanding of modern cloud data architectures and Lakehouse concepts
- Familiarity with AWS services including S3, Glue, Athena, RDS, and EMR
- Confident communicator able to work with both technical and non-technical stakeholders
We are an equal opportunities company and welcome applications from all suitable candidates.
Cloud Data Engineer — Lakehouse & Snowflake Platform in Harrogate employer: Onyx-Conseil
Join a forward-thinking organisation in Harrogate as a Cloud Data Engineer, where you will be at the forefront of developing a cutting-edge cloud data platform. With a strong emphasis on employee growth, we offer comprehensive training and private healthcare, fostering a collaborative work culture that values innovation and teamwork. Enjoy the flexibility of working one day a week on-site while contributing to impactful projects that drive analytics and AI initiatives across the business.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer — Lakehouse & Snowflake Platform in Harrogate
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with cloud platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL processes and Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with AWS services and how you've tackled challenges in building data pipelines. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Cloud Data Engineer — Lakehouse & Snowflake Platform in Harrogate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with cloud data platforms, especially Snowflake and AWS services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Cloud Data Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Technical Skills:Be specific about your technical expertise in SQL, Python, and data pipeline tools like AWS Glue and DBT. We’re looking for solid examples of how you’ve used these skills in past projects, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake, AWS Glue, and Python. Brush up on your SQL skills too! Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated in the past. Think about specific projects where you worked with data analysts or developers and how you contributed to the team’s success.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data pipelines or cloud architectures. Practise explaining your thought process clearly and logically, as this will demonstrate your problem-solving skills and technical knowledge.
✨Highlight Your Documentation Skills
Since producing high-quality documentation is part of the job, be ready to discuss your approach to maintaining metadata and data quality standards. Share examples of how you’ve documented processes in previous roles to illustrate your attention to detail.
