At a Glance
- Tasks: Design and implement high-performance data pipelines using Azure technologies.
- Company: Fast-growing tech solutions business revolutionising data analysis.
- Benefits: Competitive salary, healthcare, 27 days holiday, and training opportunities.
- Why this job: Lead innovative data engineering initiatives and make a real impact.
- Qualifications: Extensive experience with Azure data services and strong SQL skills.
- Other info: Join a collaborative team and work mainly remote.
The predicted salary is between 55000 - 70000 £ per year.
This range is provided by Initi8 Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Initi8 Recruitment
As Principle Data Engineer, your responsibilities will include designing, developing, and implementing high-performance data pipelines using Azure Data Factory, Databricks, and other Azure data services. You will architect and manage data solutions using Azure Data Lake Storage, Databricks, Databricks DLT and Streaming and Event Based Architectures. This role will see you collaborating with data scientists, analysts and other engineers to translate data requirements into technical solutions. You will also be responsible for driving best practices for data governance, data quality, data security and data lineage.
About You
You are a Data Engineer with extensive experience using Azure data platform services: Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure SQL Database and/or Azure Synapse Analytics. You will have strong SQL and excellent programming skills in Python (Scala is a strong advantage) as well as a solid understanding of data governance, quality, and security principles. You will be an excellent communicator with some exposure to Infrastructure as Code and CICD deployments. Any experience with real-time data streaming technologies, CI/CD pipelines for data solutions, or containerisation is considered highly desirable.
The Company
This is working for a fast-growing tech solutions business revolutionizing data analysis who empower businesses to unlock valuable insights from their data through their intuitive, AI-powered platform. You\’ll be part of a team transforming how businesses understand their data, optimize performance, and drive growth.
Why You Should Do This Job
This is an opportunity to lead cutting-edge data engineering initiatives in a rapidly growing company. You\’ll have a significant impact on the direction of their data strategy and the success of their clients. You’ll be joining a talented team led by an exceptional manager who truly embodies the spirit of collaboration and deeply values every member of the team. You will be using the latest technologies, and contributing to a product that\’s transforming the data landscape.
Location
Mainly remote
The Money
£65,000-£80,000 basic salary depending on experience plus bonus, healthcare, 27 days holiday in addition to Bank Holidays, Pension, opportunities for training and even your birthday off!
What You Should Do Now
If you are a Senior Data Engineer and would like to apply, click Apply and send me your resume. If you have questions about this job, please contact us at initi8 HQ
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Telecommunications
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Principle Data Engineer employer: Initi8 Recruitment
Contact Detail:
Initi8 Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principle Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure services. 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 using Azure Data Factory, Databricks, and other relevant tools. 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 SQL and Python skills. Be ready to discuss your experience with data governance and security principles, as these are hot topics in the industry right now.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Principle Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services like Databricks and Data Factory. 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 passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Technical Skills: Don’t forget to mention your programming prowess in Python and SQL. If you’ve got experience with CI/CD or real-time data streaming, make sure that’s front and centre. We’re keen to see what you bring to the table!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Initi8 Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Databricks, and other Azure services mentioned in the job description. Brush up on your SQL and Python skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working with data scientists and analysts, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight any specific projects where teamwork led to successful outcomes.
✨Understand Data Governance
Be prepared to discuss your knowledge of data governance, quality, and security principles. Think of real-world scenarios where you’ve implemented best practices in these areas and be ready to share them during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the technologies they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.