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- 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.
- Other info: Join a collaborative team with excellent career growth potential.
- Why this job: Lead innovative data engineering initiatives and make a real impact.
- Qualifications: Experience with Azure services, strong SQL, and Python programming skills.
The predicted salary is between 52000 - 68000 £ per year.
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.
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.
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 will be part of a team transforming how businesses understand their data, optimize performance, and drive growth.
This is an opportunity to lead cutting-edge data engineering initiatives in a rapidly growing company. You will have a significant impact on the direction of their data strategy and the success of their clients. You will 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 is transforming the data landscape.
Mainly remote
£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!
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.
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 seen by the right people. Plus, we love seeing candidates who take that extra step!
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 Data Factory and Databricks. We want to see how your skills align with the role, 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 you can contribute to our team. We love hearing about your journey and what drives you.
Showcase Your Technical Skills: Don’t forget to mention your programming prowess in Python and SQL. If you’ve dabbled in Scala or have experience with CI/CD pipelines, let us know! We’re keen on seeing how you can bring your technical expertise to the table.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Initi8 Recruitment
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services like Data Factory, Databricks, and Data Lake Storage. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Understand Data Governance Principles
Since data governance is a key part of the role, make sure you can articulate your understanding of data quality, security, and lineage. Think of examples from your experience where you implemented best practices in these areas.
✨Communicate Effectively
As collaboration is crucial in this role, practice explaining complex technical concepts in simple terms. Be prepared to discuss how you've worked with data scientists and analysts in the past, and highlight your communication skills throughout the interview.