Senior Data Engineer at Keyrus focusing on data solutions and projects to drive performance. Collaborating with teams globally to enhance data transformation and governance processes.
About the role
- Data Warehouse Support Specialist at Luminor enhancing banking services through system monitoring and database support. Collaborate with teams to drive continuous improvement in data processes.
Responsibilities
- Monitor and support the Production Data Warehouse environment on a daily basis to ensure stability and continuity
- Ensure the successful execution and timely completion of EOD and EOM processes
- Troubleshoot and resolve issues related to ETL jobs, data loads, and performance bottlenecks
- Coordinate with development, infrastructure, and business teams to ensure smooth operations and incident resolution
- Perform root cause analysis for incidents and recurring issues and contribute to the continuous improvement of support and maintenance processes.
- Document and maintain operational procedures, runbooks, and support guides.
Requirements
- Relational Database development experience in Oracle, Sybase IQ, or MS SQL Server
- Experience and understanding of Data Warehouse architecture, ETL principles
- Very good knowledge of T-SQL and PL/SQL
- Experience in managing and troubleshooting production workloads under time constraints is considered an advantage
- Familiarity with EOD/EOM business processes and their criticality in the financial environment is a plus
- Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team
- Analytical and detail-oriented mindset
- Good communication and collaboration skills
- Bachelor’s degree in technology, engineering, mathematics, or physics
- Fluent English is required in spoken and written communication due to working on the Pan-Baltic level
Benefits
- Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)
- International teams. Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun
- Culture. You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored
- More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more
- Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes
- Paid leave. We are proud of our employees who are participating in military training. Therefore, Luminor offers 30 fully paid calendar days for military training every year
- Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor's note needed
- Wellbeing. Access to tools and resources that help you feel good and be productive at work and in life
- Professional growth. Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc
- Special Offer for Luminor products & services. Enjoy special offers & pricing for products and services provided by Luminor
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer developing scalable data pipelines for ETL/ELT processes using GCP services. Collaborating with team members to optimize data workflows and ensure data integrity.
Data Governance Engineer in Fintech developing a formal cyber data governance framework. Collaborating with cyber security, analytics, and platform engineering teams on metadata and lineage capabilities.
Junior Data Engineer role at Allegro, focusing on developing ETL/ELT pipelines and processing large datasets. Collaborate with cross - functional teams for data quality and reporting.
Data Engineer at Concept Reply developing innovative data - driven solutions in IoT. Collaborating with teams to unlock the potential of data and cloud computing.
Data Engineer creating and managing data pipelines for critical data solutions at S&P Global. Collaborating on enterprise - scale data processing in a supportive, innovative environment.
Data Engineer supporting and evolving data environment in cloud migration. Maintain and optimize existing databases while designing modern data solutions with cross - functional collaboration.
Senior Data Engineer responsible for data pipeline projects at Suprema Gaming. Focus on batch and streaming data solutions while collaborating with business teams.
Senior data leader managing the enterprise data architecture at Breakthru Beverage. Leading high - performing teams in data engineering and defining modern data strategies.
Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.