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- Tasks: Join us as a Data Engineer, working with Python, SQL, and Azure to innovate jet engine solutions.
- Company: Expleo is a leading partner in engineering and digital transformation, enhancing lives globally.
- Benefits: Enjoy a collaborative environment, skill development through Expleo Academy, and competitive perks.
- Why this job: Be part of inspiring projects that challenge the status quo and make a real impact.
- Qualifications: Strong experience with Databricks, SQL, and Azure services; excellent communication skills required.
- Other info: We are committed to inclusivity and support for all employees, ensuring everyone can thrive.
The predicted salary is between 28800 - 48000 £ per year.
Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.
We are seeking a talented Data Engineer to join our team. As a Data Engineer, you will work with a variety of technologies including Python, Py-Spark, Pandas, SQL and Azure DevOps. You will be responsible for modeling and implementing predictive maintenance solutions for our products, specifically focusing on jet engines.
Responsibilities
- Collaborate with stakeholders to understand data migration requirements
- Work with diverse data formats and source/target databases
- Design, develop, test, and maintain data migration modules
- Analyse and address data quality issues at both the source and destination
- Participate in peer reviews, design discussions, and knowledge sharing
- Prioritize and resolve issues reported in live systems to ensure minimal downtime
- Document migration processes and provide regular progress updates
Essential skills
- Strong experience with Databricks
- Proficient in SQL for data querying and transformation
- Solid understanding of Azure Services including:
- Azure Data Factory
- Azure Storage Containers
- Lakehouse architecture
Experience
- Experience with CI/CD pipelines for deployment automation
- Familiarity with COSMOS DB
- Proficiency in Python beyond PySpark
- Working knowledge of Azure DevOps tools and practices
Benefits
- Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges
- We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
- Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
- Competitive company benefits
- Always working as one team, our people are not afraid to think big and challenge the status quo
As a Disability Confident Committed Employer we have committed to:
- Ensure our recruitment process is inclusive and accessible
- Communicating and promoting vacancies
- Offering an interview to disabled people who meet the minimum criteria for the job
- Anticipating and providing reasonable adjustments as required
- Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Contact Detail:
Expleo UK LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, Azure Data Factory, and PySpark. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Network with current or former employees of Expleo on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Data Engineer role.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've tackled data quality issues or implemented data migration processes. Being able to share specific examples will demonstrate your problem-solving skills and practical knowledge.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Showing that you are proactive about learning and adapting to new tools can set you apart from other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and essential skills required for the Data Engineer position at Expleo. Tailor your application to highlight your relevant experience with technologies like Python, SQL, and Azure.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data migration processes, ETL, and big data processing using PySpark. Provide specific examples of projects where you've successfully implemented these skills.
Showcase Communication Skills: Since excellent verbal and written communication skills are essential for this role, ensure that your application is well-structured and free of errors. Consider including a brief section on how you've effectively communicated complex technical information in past roles.
Tailor Your Cover Letter: Craft a personalised cover letter that addresses Expleo directly. Mention why you're interested in their mission of digital transformation and how your background aligns with their goals, particularly in the context of predictive maintenance solutions.
How to prepare for a job interview at Expleo UK LTD
✨Showcase Your Technical Skills
Make sure to highlight your experience with the specific technologies mentioned in the job description, such as Python, SQL, and Azure services. Be prepared to discuss how you've used these tools in past projects, especially in relation to data migration and ETL processes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. For instance, you might be asked how you would handle data quality issues or design a data migration module. Practising these types of questions can help you articulate your thought process clearly.
✨Demonstrate Collaboration Skills
Since the role involves working closely with stakeholders, be ready to discuss your experience in collaborative environments. Share examples of how you've worked with others to achieve common goals, particularly in data-related projects.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to communicate with non-technical stakeholders. This will show your ability to bridge the gap between technical and non-technical teams.
