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Data Engineer

Salary

₹18 - 30 LPA

Min Experience

2 years

Location

Luqa, Luqa, Malta

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

At Epic, we believe in challenging the status quo, pushing boundaries, and constantly striving for better.

As Challengers, we embrace innovation and efficiency, always looking for new ways to create more value for our team and for our customers. We are Authentic, staying true to our purpose and delivering on our promise of a Great Network for Great Value. Our employees are Passionate, driven by the work we do and empowered to make a difference. And above all, we are One Team, working together, supporting each other, and celebrating our collective success.

When you join Epic, you become part of a dynamic team committed to innovation and excellence. You will have the opportunity to contribute meaningfully, develop your skills, and grow within a fast and forward-thinking environment.

About The Role

We are seeking a talented and motivated Data Engineer to join our dynamic Data Engineering team. In this role, you will play a pivotal part in designing, developing, and maintaining our data infrastructure.

This is an exciting opportunity to be at the forefront of building and evolving a brand-new data lake house from scratch – a rare learning experience for professional growth. Additionally, the role provides invaluable exposure to the telecommunications industry, offering a wealth of knowledge and hands-on experience.

Key Responsibilities

  • Gain a deep understanding of the company’s diverse data sources to design, build, and maintain reliable data pipelines and processes.
  • Collaborate with analysts to understand data requirements and translate them into technical solutions.
  • Design, build, and maintain the data warehouse, data lakehouse, and other data repositories.
  • Optimise and create new data pipelines to ensure performance, scalability, and reliability.
  • Ensure data quality and integrity through validation and cleansing processes.
  • Implement data security and privacy best practices across all systems.
  • Learn and gain hands-on experience with the existing data warehouse environment.
  • Provide 24/7 support for data infrastructure and pipelines as part of an on-call rotation.
  • Stay up-to-date with the latest advancements in data technologies and AI foundations to help lay the groundwork for AI-driven solutions.

Tech stack

  • Languages: Linux shell scripting, Python, Bash with PL/SQL.
  • ETL/ELT Tools: Oracle, Airflow, dbt, PySpark, Dremio, Talend.
  • Databases: Oracle, PostgreSQL, MariaDB, and Iceberg tables (e.g., Parquet).
  • Storage Systems: AWS S3 and other modern data lakes.
  • Development Tools: GitLab, Docker, VSCode.
  • BI Reporting: SAP BusinessObjects, Power BI.
  • Collaboration Tools: JIRA, Confluence, SharePoint.

Behaviour and competencies

  • Strong ability to analyse and solve complex problems by identifying requirements and developing effective solutions.
  • Self-starter who can work independently and take initiative.
  • Effective team player who thrives in collaborative environments.
  • Rapid learner with the ability to acquire new knowledge and skills quickly.
  • Strong planning and prioritisation skills to manage multiple tasks effectively.
  • Creative thinker with strong problem-solving abilities.
  • Curiosity for data and enthusiasm for building foundations for AI technologies.

Credentials And Experience

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2+ years of experience as a Data Engineer or similar role.
  • Strong proficiency in SQL and Python.
  • Hands-on experience with data warehousing and data lake technologies (e.g., Dremio, Snowflake, Databricks, AWS S3).
  • Familiarity with cloud platforms and container orchestration (e.g., Kubernetes).
  • Experience with data tools like Airflow, dbt, and Python libraries.
  • Solid understanding of data modelling, data warehousing, and data lakehouse concepts.
  • Experience with Linux operating systems is an asset.
  • Knowledge of telecommunications and database administration is a plus.
  • Strong analytical skills with a problem-solving mindset.
  • Excellent communication and collaboration abilities.

Benefits

  • Hybrid and flexible work environment
  • Modern open-plan office space
  • Health insurance
  • Free company services
  • Free parking
  • Social events and team-building activities
  • Referral program with paid compensation

About the company

At Epic, we believe in challenging the status quo, pushing boundaries, and constantly striving for better. As Challengers, we embrace innovation and efficiency, always looking for new ways to create more value for our team and for our customers. We are Authentic, staying true to our purpose and delivering on our promise of a Great Network for Great Value. Our employees are Passionate, driven by the work we do and empowered to make a difference. And above all, we are One Team, working together, supporting each other, and celebrating our collective success.

Skills

sql
python
bash
pl/sql
airflow
dbt
pyspark
dremio
talend
oracle
postgresql
mariadb
iceberg tables
aws s3
gitlab
docker
vscode
sap businessobjects
power bi
jira
confluence
sharepoint