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- Tasks: Develop and maintain data pipelines using Azure Databricks and SQL.
- Company: Join a leading SaaS business focused on data-driven solutions in South Manchester.
- Benefits: Enjoy flexible hybrid working, 25 days annual leave, and enhanced healthcare benefits.
- Why this job: Be part of a growing team where your work directly impacts enterprise-level platforms.
- Qualifications: Strong experience in Azure Databricks, SQL, Python, and ETL solutions required.
- Other info: Interview slots available ASAP; apply now to kickstart your career!
The predicted salary is between 33000 - 52000 £ per year.
A leading SaaS business based in South Manchester are growing their data teams and looking for an experienced Senior Data Engineer with strong expertise in Azure Databricks to support the ongoing growth of their enterprise level platforms. They are a heavily data focused organisation, and your role will be vital in developing and maintaining data pipelines, infrastructure and systems.
What they’re looking for in their Data Engineer:
- Strong experience in Azure Databricks, Data Factory and similar cloud data tools.
- Leveraging the Databricks platform to build and manage data pipelines, and analyse data.
- Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse.
- Strong level of expertise in SQL and Python for data engineering tasks.
What’s in it for you:
- Salary from £55,000-65,000
- Flexible and Hybrid working (1-2 days a week in the South Manchester office)
- 25 days annual leave (rising each year)
- Enhanced Pension and Healthcare including 24/7 GP and support access
Interview slots are available ASAP with the client looking to move quickly. Apply now to find out more and arrange a call!
Senior Data Engineer (Sale) employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Sale)
✨Tip Number 1
Familiarise yourself with Azure Databricks and its features. Since the role specifically requires strong expertise in this platform, consider working on personal projects or contributing to open-source projects that utilise Databricks to showcase your skills.
✨Tip Number 2
Network with current employees or professionals in the field. Use platforms like LinkedIn to connect with Data Engineers who work at the company or similar organisations. Engaging in conversations can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and Python. Since these are crucial for data engineering tasks, practice coding challenges and review common interview questions related to data pipelines and ETL processes.
✨Tip Number 4
Showcase your problem-solving skills during the interview process. Be ready to discuss past projects where you implemented robust ETL solutions or managed data pipelines, highlighting your contributions and the impact of your work.
We think you need these skills to ace Senior Data Engineer (Sale)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, Data Factory, and any relevant cloud data tools. Use specific examples of projects where you've built and managed data pipelines or implemented ETL solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills in SQL and Python align with their needs, and provide examples of how you've contributed to similar projects in the past.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to projects that demonstrate your expertise in data engineering, particularly those involving Azure Databricks and data pipeline development.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Maxwell Bond
✨Showcase Your Azure Databricks Expertise
Make sure to highlight your experience with Azure Databricks during the interview. Be prepared to discuss specific projects where you've leveraged this platform to build and manage data pipelines, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your ETL Knowledge
Since the role involves implementing robust ETL solutions, be ready to explain your approach to consolidating data from multiple sources into a central data warehouse. Discuss any tools or methodologies you've used in the past and how they contributed to successful outcomes.
✨Prepare for Technical Questions
Expect technical questions related to SQL and Python, as these are crucial for the role. Brush up on your coding skills and be ready to solve problems on the spot or explain your thought process when tackling data engineering tasks.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask insightful questions about the company's data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
