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- Tasks: Design and maintain Azure-based data pipelines while collaborating with architects and analysts.
- Company: Join a fast-growing consultancy revolutionising project performance through smarter data.
- Benefits: Enjoy hybrid work options and be part of a diverse, inclusive team.
- Why this job: Shape impactful data infrastructure and enhance your skills in a dynamic environment.
- Qualifications: 2–3+ years in data engineering; strong Azure, Python, and ETL/ELT skills required.
- Other info: PACE values diversity and is committed to equal opportunities for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring a Data Engineer for a leading project controls consultancy – a fast-growing SME specialising in Project Controls and data-driven decision-making. My clients mission is to revolutionise project performance using smarter data. You’ll have the chance to shape our data infrastructure and be part of something impactful from the ground up.
Responsibilities:
- Design, build, and maintain robust Azure-based data pipelines and architecture.
- Collaborate with architects and analysts to ensure efficient data flow and integration.
- Write and optimise Python scripts for processing and automation.
- Use Azure Data Factory to orchestrate workflows and manage SQL database operations.
Requirements:
- 2–3+ years of experience in a data engineering or similar role.
- Strong skills in Azure (Data Factory, SQL), Python, and ETL/ELT pipelines.
- Degree in Data Science, Computer Science, or related field – or Microsoft Azure Data Engineer certification.
- Knowledge of Project Controls or construction/infrastructure sectors.
PACE welcomes and encourages diversity in our workforce. PACE is Disability Confident Committed and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin or disability or any other protected characteristics.
Data Projects Engineer employer: PACE Global
Contact Detail:
PACE Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Projects Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Factory and its functionalities. Consider building a small project or demo that showcases your ability to create data pipelines, as practical experience can really set you apart during discussions.
✨Tip Number 2
Brush up on your Python skills, especially in writing scripts for data processing and automation. You might want to prepare examples of how you've optimised scripts in the past, as this could be a key discussion point in interviews.
✨Tip Number 3
Gain a solid understanding of the project controls and construction sectors. Research current trends and challenges in these areas, as being knowledgeable about the industry will demonstrate your genuine interest and commitment to the role.
✨Tip Number 4
Network with professionals in the data engineering field, particularly those who work with Azure technologies. Engaging in relevant online communities or attending meetups can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Data Projects Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure, Python, and ETL/ELT pipelines. Use specific examples that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's mission to revolutionise project performance. Mention how your background aligns with their needs and how you can contribute to their goals.
Showcase Relevant Projects: If you have worked on any projects related to data infrastructure or project controls, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to collaborate with teams, communicate effectively, and adapt to new challenges. These soft skills are crucial in a consultancy environment.
How to prepare for a job interview at PACE Global
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, Python, and ETL/ELT pipelines in detail. Bring examples of projects where you've designed or maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarise yourself with the consultancy's goal of revolutionising project performance through smarter data. This will help you align your answers with their vision and show that you're genuinely interested in contributing to their mission.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data flow and integration.
✨Highlight Collaboration Experience
Since the role involves working closely with architects and analysts, be ready to discuss your teamwork experiences. Share specific instances where collaboration led to successful outcomes in your projects.
