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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 42000 - 84000 £ 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 Engineer Projects employer: PACE Global
Contact Detail:
PACE Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Projects
✨Tip Number 1
Familiarise yourself with Azure Data Factory and SQL databases, as these are crucial for the role. Consider building a small project or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the project controls and data engineering fields. Attend relevant meetups or webinars to connect with industry experts and learn about the latest trends and technologies.
✨Tip Number 3
Brush up on your Python skills, especially in writing and optimising scripts for data processing. You might want to create a portfolio of scripts that demonstrate your ability to automate tasks effectively.
✨Tip Number 4
Research the company’s mission and values, particularly their focus on revolutionising project performance through smarter data. Tailor your conversations during interviews to reflect how your goals align with theirs.
We think you need these skills to ace Data Engineer Projects
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experiences required for the Data Engineer position. Highlight your relevant experience in Azure, Python, and data pipelines.
Tailor Your CV: Customise your CV to reflect the key skills mentioned in the job description. Emphasise your experience with Azure Data Factory, SQL, and any relevant projects you've worked on that demonstrate your ability to design and maintain data infrastructure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how you can contribute to the company's mission of revolutionising project performance. Mention specific examples of your work with data pipelines and collaboration with teams.
Proofread Your Application: Before submitting, thoroughly proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at PACE Global
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure, Python, and ETL/ELT pipelines during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Understand the Company’s Mission
Familiarise yourself with the consultancy's mission to revolutionise project performance using smarter data. This will help you align your answers with their goals and demonstrate your enthusiasm for contributing to their vision.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples from your past experiences where you designed or optimised data pipelines, and be ready to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves collaborating with architects and analysts, be sure to discuss your teamwork experiences. Share examples of how you've worked effectively with others to ensure efficient data flow and integration.
