Senior Data Engineer


As the Senior Data Engineer, you will work alongside our existing Analytics team. You will be working on real business problems, which are solved through data-driven approaches.

We work on data collected from various data sources, both within our company and from external sources. With advanced analytics and AI, we will get insights that will bring new business value, define product development strategy and add new services to existing products and customers.

We are looking for a Data Engineer who will work on various projects, making data accessible so that other teams can use it to evaluate and optimize their performance.

As a technical solution partner for a variety of companies and businesses within the EPTI ecosystem, we offer the experience of working on a variety of different products, technologies, and challenges that must be met and managed. This means having an appetite for continuous learning and improving your skills and knowledge. It is important that you have an analytical mindset and can perform well under pressure, as will be the case from time to time.

Job Title: Data Engineer

Reports to: Head of Engineering


  • Analytical mindset
  • Problem solver
  • Self-driven
  • Team player
  • Good communicator
  • Working with cross-functional teams and understanding their workflow


  • Closely cooperating with Business Stakeholders (CEOs, Product Managers), Delivery members (Business Analysts, Delivery Managers) and Engineering (DevOps, Developers)
  • Maintaining and improving data quality and usability
  • Documenting your work
  • Implementing machine learning algorithms and optimizing pipelines
  • Approaching high-level challenges with a clear eye on what is important
  • Detailing your techniques and discoveries to technical and non-technical audiences in a language they can understand
  • Evaluating and adapting new and improved approaches
  • Efficiently managing your time and resources to meet project deadlines
  • Collaborating with other project members with different backgrounds daily
  • Define the data pipelines and architecture

Required Knowledge:

  • 3+ years of experience as a data engineer (or similar) in the business context
  • Someone with a university degree in computer science, mathematics, physics, or related fields
  • In-depth understanding of data architecture, machine learning, and a good understanding of IT
  • Experience with data modeling, implementing ETL, and data ingestion
  • Knowledge of Python and Bash scripts
  • Experience with big data technologies (e.g., Hive/Impala, Cassandra, Spark (Streaming), Kafka)
  • Understanding of safety, security, privacy, and legal issues relevant to digital products
  • Familiarity with agile product organizations and Dev/Ops methods
  • Excellent command of written and spoken English
  • Above-average decision-making and problem-solving skills

Bonus Knowledge:

  • Ph.D. Degree in computer science, mathematics, physics, or related fields
  • Data engineering certification (e.g., IBM Certified Data Engineer) is a plus
  • Knowledge of AWS and/or Azure Data pipelines

Technologies and Applications

Some of the technologies, applications, and services that our team works with include: Git, Slack, Jira, GSuite, AWS, .Net, Go, etc.

Some of the technologies, applications, and services you will introduce to the company are Spark, Kafka, Python, Java, Jupyter, Impala, etc.


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