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- Tasks: Design and deliver scalable data solutions using Snowflake and modern data pipelines.
- Company: Join a forward-thinking company with a hybrid work culture.
- Benefits: Competitive daily rate, flexible working, and opportunities for skill development.
- Why this job: Make an impact by optimising data workflows and collaborating with diverse teams.
- Qualifications: Experience with Snowflake, SQL, and cloud platforms like Azure and AWS.
- Other info: Exciting role with potential for growth in the data engineering field.
The predicted salary is between 48000 - 72000 £ per year.
Newbury Hybrid 2 days onsite mandatory
Client: Gamma
RRF ID: 2026-18851
£400 per day Outside IR35
Duration: 3 months initial
Start: ASAP
Overview: We are looking for an experienced Data Engineer to design and deliver scalable, secure, and high performance data solutions. The role focuses heavily on Snowflake architecture, cloud data platforms, and modern data pipeline development.
Key Responsibilities:
- Design and architect data solutions using Snowflake
- Optimise workflows and integrations using Openflow
- Develop and maintain ETL and ELT pipelines from Salesforce, relational databases, files, and NoSQL sources
- Implement dimensional modelling to support data warehousing and BI reporting
- Build and optimise data pipelines across Azure and AWS
- Ensure data quality, governance, and security best practices
- Enable reporting and analytics through Power BI and Tableau integration
- Collaborate with cross functional teams to translate business requirements into technical solutions
Required Skills and Experience:
- Strong hands on experience with Snowflake
- Experience with Openflow for workflow automation and orchestration
- Solid knowledge of SQL Server and relational database concepts
- Experience with Azure and AWS
- Salesforce data ingestion experience
- Exposure to NoSQL databases such as MongoDB, Cassandra, or DynamoDB
- Experience supporting Power BI and Tableau reporting
- Proficiency in Python, Spark, or similar data engineering tools
- Understanding of AI and ML trends
- Strong communication and stakeholder management skills
Data Engineer in Newbury employer: staffing connect
Contact Detail:
staffing connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Newbury
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or cloud platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data solutions, especially those involving ETL pipelines and data warehousing. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Snowflake, Azure, and AWS, and have examples of how you've optimised workflows or implemented data governance ready to share.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Data Engineer in Newbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and cloud data platforms. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like SQL Server, Python, and ETL processes. We love seeing specific examples of how you've used these skills in past roles!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at staffing connect
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake architecture knowledge. Be ready to discuss how you've designed and optimised data solutions using it in the past. Prepare specific examples of projects where you implemented Snowflake, focusing on the challenges you faced and how you overcame them.
✨Show Off Your ETL/ELT Skills
Since the role involves developing and maintaining ETL and ELT pipelines, be prepared to talk about your experience with these processes. Have a couple of concrete examples ready that showcase your ability to work with Salesforce, relational databases, and NoSQL sources. Highlight any tools or frameworks you used to streamline these workflows.
✨Demonstrate Your Cloud Knowledge
This position requires solid experience with Azure and AWS, so make sure you can discuss your familiarity with both platforms. Think about specific projects where you utilised cloud services for data engineering tasks. Being able to articulate the benefits and challenges of using these platforms will impress your interviewers.
✨Communicate Like a Pro
Strong communication skills are key for this role, especially when collaborating with cross-functional teams. Practice explaining complex technical concepts in simple terms. You might even want to prepare a few scenarios where you successfully translated business requirements into technical solutions, showcasing your stakeholder management skills.