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- Tasks: Join our team to develop and maintain innovative data products on a Strategic Data Platform.
- Company: We are a leading organisation focused on delivering high-quality data solutions in a collaborative environment.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional development.
- Why this job: Be part of an Agile team that values creativity and offers impactful projects in the data space.
- Qualifications: 3+ years of Data Engineering experience with strong skills in Azure, SQL, Python, and Power BI.
- Other info: SC clearance is required; relevant certifications will give you an edge!
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.
- Data Engineers 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 (Preference will be given to those who hold relevant certifications)
- Proficient in SQL
- Knowledge of Terraform
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
Make sure you highlight your experience with Azure Data Factory and Synapse in your conversations. These tools are crucial for the role, and demonstrating your hands-on experience can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with Agile methodologies if you haven't already. Being able to discuss how you've successfully worked in Agile teams will show that you're a good fit for our collaborative environment.
✨Tip Number 3
Prepare to discuss specific projects where you've used Python and PySpark. Sharing concrete examples of how you've transformed raw data into actionable insights will demonstrate your technical prowess.
✨Tip Number 4
Since this role requires SC clearance, be ready to talk about your eligibility and any previous experience working in secure environments. This will reassure us of your suitability for the position.
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 tools 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 SC clearance and how your experience aligns with the responsibilities outlined in the job description. Be sure to express your enthusiasm for working with data products.
Showcase Relevant Projects: If you have worked on projects involving data modelling, visualisation, or migration of legacy systems, include these in your application. Describe your role and the impact of your contributions to highlight your capabilities.
Highlight Certifications: If you hold any relevant certifications, especially in Azure or data engineering, make sure to mention them prominently in your application. This can set you apart from other candidates and demonstrate your commitment to professional development.
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 quality and identify issues. Prepare to discuss your approach to data profiling and how you've ensured data accuracy in past projects.
✨Emphasise Collaboration Skills
The role requires managing relationships with non-technical colleagues, so be sure to provide examples of how you've effectively communicated complex technical concepts to diverse audiences.
