Senior Data Engineer (Payments Unit) at Luminor Group

Tallinn, Harju, Estonia -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

6500.0

Posted On

06 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Data Lakehouse, Apache Spark, AWS EMR, AWS Glue Jobs, Databricks, Snowflake/Snowpark, Amazon S3, Athena, Kafka, SQL, Python, Data Modeling, YAML, AWS MWAA, Data Quality

Industry

Banking

Description

Join our team as a Senior Data Engineer! Yes, you can! That's our attitude towards our work, ambitions, ideas, and relationships. We at Luminor believe that anyone has the potential to achieve big things and encourage everyone to achieve them, professionally and personally. Whoever you are and whatever your role is, with Luminor, you will get a once-in-a-lifetime opportunity to build a local banking champion. We are seeking a skilled Senior Data Engineer with a strong background in AWS technologies and modern data architectures. The ideal candidate will have hands‑on experience designing, building, and maintaining scalable data pipelines within a Data Lakehouse environment, while ensuring the highest standards of data quality, security, and performance. Experience in the payments / regulatory reporting and familiarity with BIAN frameworks will be considered a strong plus. How You Will Make an Impact: Design, build, and optimize data ingestion, transformation, and processing pipelines using Apache Spark–based platforms (e.g., AWS EMR, Glue Jobs, Databricks, Snowflake/Snowpark), along with AWS services (Amazon S3, Athena), and Kafka. Implement and maintain scalable solutions aligned with Data Lakehouse architecture and modern data engineering best practices. Use SQL and Python to develop robust data workflows, automation scripts, and transformation logic. Understand data models (conceptual, logical, and physical) and implement them as solutions. Develop and manage YAML-based configurations for pipeline metadata, orchestration, and schema definitions. Ensure end-to-end data quality, validation, lineage, security, availability, and performance across data assets. Collaborate closely with system analysts, data analysts, product teams, and software engineers to understand requirements and deliver dependable data solutions. Apply data product thinking when designing datasets and interfaces to support self-service analytics and reusable data assets. Support orchestration workflows on AWS MWAA (Managed Apache Airflow) or similar pipeline management platforms. Monitor, troubleshoot, and optimize data pipelines in production environments. What Makes You a Great Fit: 3–5 years of experience as a Data Engineer or similar role Strong experience with AWS data stack: S3, EMR, Glue data catalog, Kafka, Athena, IAM and orchestration tools like MWAA Strong programming experience with Python, including writing clean, maintainable scripts Expertise in SQL and performance optimization Strong understanding of Data Lakehouse, ETL/ELT architectures, and distributed data processing Practical experience in data modeling and industry‑standard modeling techniques Proficiency with YAML for configuration and pipeline metadata management Strong communication and documentation skills Detail‑oriented with a strong commitment to high-quality, reliable data delivery Payments industry experience and BIAN exposure are a plus Fluent English is required in spoken and written communication due to working on the Pan-Baltic level Preferred Qualifications Experience with modern data frameworks (e.g., Delta Lake, Iceberg, Hudi) Knowledge of CI/CD practices for data pipelines Understanding of data governance and cataloging best practices Why You Will Love Working Here: 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 Gross salary. 5000 - 6500 EUR/month, which is to be determined depending on your level of experience and competencies We are looking for a candidate primarily already located within the Baltics. Please apply with your CV in English and PDF format!

Responsibilities

The role involves designing, building, and optimizing scalable data ingestion, transformation, and processing pipelines using platforms like Apache Spark and various AWS services within a Data Lakehouse architecture. Responsibilities also include ensuring end-to-end data quality, security, and performance, while collaborating with cross-functional teams to deliver dependable data solutions.