At a Glance
- Tasks: Design and build scalable data pipelines for a modern cloud data platform.
- Company: Join a forward-thinking organisation with a focus on innovation and collaboration.
- Benefits: Enjoy a competitive salary, private healthcare, and ongoing training opportunities.
- Other info: Work in a dynamic environment with a commitment to equal opportunities.
- Why this job: Make a real impact on data-driven decisions and future AI initiatives.
- Qualifications: Experience in data engineering, strong SQL and Python skills, and cloud knowledge.
The predicted salary is between 60000 - 70000 £ per year.
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
The Person:
- 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.
Data Engineer in Harrogate employer: Onyx-Conseil
Join a forward-thinking organisation in Harrogate as a 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 unique advantage of a flexible working arrangement, with only one day required on-site, allowing for a balanced work-life dynamic while contributing to impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Harrogate
✨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. 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 ETL processes or cloud data platforms. 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. Be ready to discuss your experience with tools like AWS Glue and Snowflake, and don’t forget to highlight your collaboration skills with both technical and non-technical teams.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace Data Engineer in Harrogate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and cloud technologies. We want to see how your skills in SQL, Python, and tools like Snowflake align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our cloud data platform. Show us your personality and enthusiasm for the role!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical examples of your skills in action, especially with ETL and ELT processes.
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 this exciting opportunity in our Group Data Team!
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 AWS Glue, Snowflake, 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
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with both technical and non-technical stakeholders. Highlighting your communication skills can set you apart from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Practice explaining your previous projects, especially those involving ETL/ELT processes and data pipelines. Be ready to solve problems on the spot, as this demonstrates your critical thinking and problem-solving abilities.
✨Understand the Business Impact
It’s not just about the tech; understand how your work as a Data Engineer contributes to the overall business goals. Be ready to discuss how your data solutions can drive insights and decision-making within the organisation. This shows that you’re not only a techie but also a strategic thinker.
