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For Companies At a Glance
- Tasks: Join our team to build and maintain data solutions for fuel retailers worldwide.
- Company: Dover Fueling Solutions is a leader in fuel management technology.
- Benefits: Enjoy hybrid work, generous holidays, ongoing training, and private medical insurance.
- Why this job: Be part of innovative projects with a focus on machine learning and cloud solutions.
- Qualifications: Strong problem-solving skills, experience with Python, SQL, and cloud technologies required.
- Other info: This role offers a supportive environment for growth and development.
The predicted salary is between 28800 - 43200 £ per year.
Job Description
Dover Fueling Solutions are looking to recruit a Graduate/Junior Data Engineer to join our growing team on a full time, permanent basis based in Skelmersdale.
The engineering team at Dover Fueling Solutions are responsible for building, improving and maintaining our wetstock management platform. This platform assists fuel retailers around the globe to manage their forecourts and fuel by managing their data.The Junior Data Engineer will focus on building solutions to business problems through collaboration with domain experts and architects, designing appropriate data ingestion and processing pipelines, deploying and maintaining them for a portfolio of cloud-based solutions. They will also make significant contributions to algorithms and machine learning initiatives.
The successful candidate will:
- Have strong problem-solving and analytical skills.
- Have strong customer service skills and the ability to work within strict deadlines.
- Able to work in a team environment.
- Excellent written and verbal skills
- Experience using Power BI
- Experience using Python and SQL
- RDBMS and data modelling knowledge with Oracle or MSSQL/Azure SQL
- Experience designing and building scalable, efficient data pipelines to solve business problems.
- Experience distributing Big Data processing using one or more of: Apache Spark, Azure Data Lake, Azure Databricks, CosmosDB. MongoDB
- Cloud computing experience in MS Azure (preferred)
- Experience with ETL and orchestration tools, such as Azure Synapse, Azure Data Factory
- Cloud computing experience in MS Azure
- Experience with streaming data technologies, such as Apache Kafka, Spark Streaming, Azure Stream Analytics,
- Knowledge of C#/.NET, PL/SQL, T-SQL and
- Experience with Python for data modelling
Benefits we offer for the successful Graduate/Junior Data Engineer:
This is an excellent opportunity for a Junior / Mid-Level Data Engineer to join a company that strongly believes in the development of its employees, and you will be rewarded with an attractive benefits package:
- Hybrid working environment.
- Generous holiday allowance
- On-going training
- Annual bonus
- Private medical insurance
- Life assurance
Interested?
If you feel you are the right candidate for the role of Graduate/Junior Data Engineer, please click "Apply" today!
All qualified applicants will receive consideration for employment without discrimination on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.
Graduate/Junior Data Engineer employer: Dover Fueling Solutions
Contact Detail:
Dover Fueling Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate/Junior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Apache Spark. Having hands-on experience or projects showcasing these tools can set you apart during the interview.
✨Tip Number 2
Network with current employees or alumni who work at Dover Fueling Solutions. They can provide insights into the company culture and the team dynamics, which can be beneficial for your interview preparation.
✨Tip Number 3
Prepare to discuss real-world examples of how you've solved data-related problems in previous projects or internships. This will demonstrate your problem-solving skills and ability to apply your knowledge practically.
✨Tip Number 4
Showcase your collaborative skills by discussing any team projects you've worked on. Highlight your role in those projects and how you contributed to achieving the team's goals, as teamwork is emphasized in the job description.
We think you need these skills to ace Graduate/Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasize your knowledge of Python, SQL, and any experience with data pipelines or cloud computing, especially in MS Azure.
Craft a Strong Cover Letter: Write a cover letter that showcases your problem-solving abilities and analytical skills. Mention specific projects or experiences where you successfully built data solutions or collaborated with teams to solve business problems.
Showcase Technical Skills: In your application, clearly list your technical skills related to data engineering, such as experience with Power BI, Apache Spark, and ETL tools. Provide examples of how you've used these technologies in past projects.
Highlight Team Collaboration: Since teamwork is essential for this role, include examples in your application that demonstrate your ability to work effectively within a team environment. Discuss any collaborative projects or experiences that showcase your customer service skills.
How to prepare for a job interview at Dover Fueling Solutions
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex problems in the past. Highlight your analytical skills and how they can contribute to building effective data solutions.
✨Demonstrate Team Collaboration
Since the role emphasizes teamwork, share experiences where you successfully collaborated with others. Discuss how you communicated with domain experts and architects to achieve common goals.
✨Highlight Technical Proficiency
Make sure to mention your experience with Power BI, Python, SQL, and any relevant cloud computing tools like Azure. Be ready to explain how you've used these technologies to design and build data pipelines.
✨Prepare for Behavioral Questions
Expect questions about working under pressure and meeting deadlines. Prepare examples that showcase your customer service skills and ability to thrive in a fast-paced environment.
