At Dover Fueling Solutions (DFS), we are taking fueling and convenience retail to the next level. We are passionate about cultivating excellence in everything we do, but what really fuels us is our people. They’re the heart of our company. As an employee, our promise to you is that you’ll work on new and innovative products and solutions, be mentored by managers and teammates who are collaborative, caring, and act with integrity, and have the opportunity to grow in ways that are meaningful to you. Unique and interesting projects – both locally and globally – will challenge you and allow you to pursue different and rewarding career paths.
We are looking for a Graduate/Junior Data Engineer to join our growing team at Fairbanks, Dover Fueling Solutions on a full-time and permanent basis.
What we do:
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.
Responsibilities:
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.
* Experience with streaming data technologies, such as Apache Kafka, Spark Streaming, Azure Stream Analytics.
* Knowledge of C#/.NET, PL/SQL, T-SQL.
* Experience with Python for data modelling.
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.
* On-going training.
* Annual bonus.
* Private medical insurance.
* Life assurance.
Work Arrangement: Onsite
We consider several job-related, non-discriminatory factors when determining the pay rate for a position, including, but not limited to, the position’s responsibilities, a candidate’s work experience, a candidate’s education/training, the position’s location, and the key skills needed for the position.
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.
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