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- Tasks: Develop and maintain data products while ensuring operational stability.
- Company: Join a dynamic team focused on innovative data solutions in a collaborative environment.
- Benefits: Enjoy flexible working options and opportunities for professional development.
- Why this job: Be part of an Agile team making a real impact with cutting-edge technology.
- Qualifications: 3+ years of Data Engineering experience with strong skills in Azure, SQL, and Python.
- Other info: SC clearance is required; relevant certifications are preferred.
The predicted salary is between 48000 - 72000 £ per year.
Responsibilities:
- Develop and maintain data products and a Strategic Data Platform.
- Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products.
- Work within, and contribute to, the overall data development life cycle process as part of multi-functional Agile delivery teams focused on one or more products.
Essential skills:
- Typical Data Engineering Experience required (3+ years):
- Strong knowledge and experience in:
- Azure Data Factory and Synapse data solution provision
- Azure DevOps
- Power BI
- Python
- PySpark
Data Engineer (SC Cleared only) employer: Scrumconnect Consulting
Contact Detail:
Scrumconnect Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (SC Cleared only)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Data Factory, Synapse, and Power BI. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with current or former Data Engineers, especially those who have worked in similar environments. Engaging with professionals on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering, particularly around Agile methodologies. Participating in relevant webinars or online courses can help you demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare for potential technical interviews by practising common data engineering problems and scenarios. Focus on SQL queries, data modelling, and visualisation techniques, as these are likely to be key areas of discussion during the interview process.
We think you need these skills to ace Data Engineer (SC Cleared only)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Synapse, and other relevant technologies mentioned in the job description. Use specific examples to demonstrate your skills in data engineering and Agile methodologies.
Craft a Strong Cover Letter: In your cover letter, explain why you are a great fit for the Data Engineer role. Mention your 3+ years of experience, relevant certifications, and how your skills align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: When detailing your experience, emphasise your proficiency in SQL, Python, and Power BI. Include any projects where you developed complex visualisations or worked on data modelling to illustrate your capabilities.
Highlight Team Collaboration: Since the role requires working within multi-functional Agile teams, provide examples of how you've successfully collaborated with both technical and non-technical colleagues. This will demonstrate your ability to manage relationships effectively.
How to prepare for a job interview at Scrumconnect Consulting
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure Data Factory, Synapse, and other relevant tools during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Agile Experience
Since the role involves working in Agile teams, be ready to share examples of how you've contributed to Agile projects. Discuss your role in sprints, stand-ups, and how you’ve collaborated with cross-functional teams.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to analyse data and identify issues. Prepare to discuss how you've approached data quality challenges or complex data transformations in past roles.
✨Emphasise Communication Skills
As the role requires managing relationships with non-technical colleagues, be sure to demonstrate your ability to communicate complex technical concepts clearly. Share examples of how you've successfully collaborated with diverse teams.
