Senior PDM Data Architect at Ford focusing on 3D model creation for digital marketing. Responsible for managing complex CAD data and collaboration with creative studios.
About the role
- Data Engineer building data pipelines for Luminor Group in Estonia. Simplifying data access and collaborating with BI Product Owners.
Responsibilities
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Create and maintain optimal data orchestration pipelines
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Work within a Domain Delivery team to assist with data-related technical issues and support their data infrastructure needs
- Explore ways to enhance data quality and reliability
- Remain up to date with industry standards and technological advancements that will improve the quality of your outputs
- Participate in code reviews to ensure quality and provide constructive feedback. Guide colleagues and junior engineers through complex problems and projects
- Establish and enforce coding standards and best practices to maintain consistency and reliability
- Collaborate closely with stakeholders, such as Product Owners. Business Analysts, and Data Scientists, to address complex data-related technical issues and support their data pipeline/business solution needs
Requirements
- Good understanding and working knowledge of DWH (Sybase/Oracle) and RDBMS (MS SQL) - At least 3 to 4 years of experience in SQL is required
- Demonstrated expertise in Apache Airflow is an advantage
- Good understanding and expertise in Data warehouse management and concepts
- Fluent in Python programming and other programming languages would also be a plus
- Exposure to utilize the AI technologies for better productivity
- Demonstrated experience in leading fellow data engineers in problem-solving, mentoring, code reviews, development, and educating the team on best data engineering practices
- Exposure to modern Data Lakehouse architecture
- Great communication skills, both verbal and written, and interest in working with a diverse set of peers
- Ability to build a shared understanding of the problems and determine potential solution
- Ability to be self-organized, balanced and show initiative
- Attention to details
- Genuine enjoyment of the art of building great data solutions
- B.S. or M.S. in Computer Science, Information Systems, Systems Engineering or similar majors
- Proven ability to work in a fast-paced environment with cross-functional project team
- Exposure with common BI and Data exploration tools (e.g., Business Objects, Tableau, PowerBI)
- 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
Specialist PDM Data Architect managing the creation and maintenance of 3D models for digital marketing at Ford. Bridging technical gaps between Engineering and Marketing for digital asset accuracy.
Senior Consultant in SAP Data Migration at Scheer Group advising clients on data migration strategies. Leading migration projects and developing innovative migration solutions in a collaborative environment.
Junior/Medior SAP/SAC Data Engineer at BAM working on SAP data transformation for analytics and reporting. Collaborating within a DevOps team to optimize data pipelines and reporting structures.
Data Engineer working remotely with cross - functional teams to solve data challenges through coding. Analyzing large datasets and ensuring collaboration for effective implementation of insights.
Data Engineer at Capital One focusing on innovative technology solutions and mentoring talent. Collaborating on enterprise - wide initiatives and implementing cutting - edge practices.
Azure Data Engineer designing and implementing robust data solutions leveraging Microsoft Azure technologies. Collaborating with stakeholders to create efficient data pipelines and ensure data integrity.
Global Brand Finance Data Engineer at Wella Company managing Power BI automation and financial data processes. Collaborating with Finance, IT, and Supply Chain for integrated financial reporting.
Data Engineering Analyst at Inmetrics developing and optimizing data pipelines, ensuring data quality. Collaboration with business teams aligning data solutions with business objectives.
Data Engineer working on open - source Data Lakehouse and data pipeline development. Involves data integration and ensuring data quality in a hybrid work environment.