DataBricks - Data Engineering
Wipro Limited
Data Engineer (Data Engineering Team)
capital· Data Engineering
About this role
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure.
The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.
Responsibilities:
- Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
- Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
- Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
- Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
- Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.
- Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of experience in data engineering or a related field.
- Proven experience with Redshift and Snowflake.
- Experience with DBT.
- Experience with Apache Airflow for workflow orchestration.
- Proficiency in Python for data pipeline development and scripting.
- Experience with AWS cloud services, including S3, EC2, and EMR.
- Familiarity with Kafka for real-time data streaming.
- Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
- Project management skills using Jira or similar tools.
- Ability to collaborate effectively with cross-functional teams and understand business data needs.
- Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.
- Adaptable and open to learning new technologies and methodologies.
What you will get in return:
• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Frequently Asked Questions
Is the salary disclosed for the Data Engineer (Data Engineering Team) position at capital?
The salary for this Data Engineer (Data Engineering Team) role at capital is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer (Data Engineering Team) position at capital located?
This Data Engineer (Data Engineering Team) role at capital is based in Limassol, Cyprus, Sofia City, Bulgaria, Warsaw, Mazowieckie, Poland. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer (Data Engineering Team) role at capital full-time or part-time?
This is listed as a Hybrid position. It is posted as a Data Engineer (Data Engineering Team) role in the Data Engineering department at capital.
Which team or department does the Data Engineer (Data Engineering Team) at capital belong to?
This Data Engineer (Data Engineering Team) position is part of the Data Engineering department at capital. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Engineer (Data Engineering Team) position at capital?
Click the "Apply Now" button on this page. You will be redirected to capital's official application portal hosted on lever where you can submit your application directly.
When was the Data Engineer (Data Engineering Team) job at capital posted?
This Data Engineer (Data Engineering Team) position at capital was posted on Sep 30, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer (Data Engineering Team)
capital
You'll be redirected to capital's official application page on Lever.