At a Glance
- 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, driving innovation globally.
- Benefits: Enjoy a collaborative environment, skill development through Expleo Academy, and competitive company perks.
- Why this job: Be part of a team that challenges the status quo and makes a real impact in technology.
- Qualifications: Strong experience with Databricks, SQL, Azure Services, and expertise in PySpark required.
- Other info: We are committed to inclusivity and support for all employees, ensuring everyone can thrive.
The predicted salary is between 36000 - 60000 £ 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.
Data Engineer employer: Expleo UK LTD
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 and Azure services. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the data engineering community online. Join forums or groups related to Python, PySpark, and Azure DevOps. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data migration processes during interviews. Be ready to share specific examples of how you've tackled data quality issues or implemented ETL solutions in past projects.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing technical concepts. Since collaboration with stakeholders is key in this role, demonstrating your ability to explain complex ideas simply can make a strong impression.
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 skills required for the Data Engineer position at Expleo. Familiarise yourself with technologies like Python, SQL, and Azure services mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your proficiency in Databricks, PySpark, and any experience with data migration processes, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to work with data and collaborate with stakeholders.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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 your proficiency in Databricks and PySpark, as well as any relevant projects you've worked on.
✨Understand Data Migration Processes
Familiarise yourself with data migration concepts, including ETL and data mapping. Be ready to explain how you have tackled data quality issues in past projects and how you would approach similar challenges at Expleo.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with stakeholders, think of examples where you've successfully worked in a team setting. Be ready to discuss how you communicate technical information to non-technical team members.
✨Ask Insightful Questions
Prepare thoughtful questions about Expleo's projects, team dynamics, and the technologies they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.