Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
About the role
- Data Engineer developing and managing technology-based data solutions for clients in different industries in Greece. Participating in software development lifecycle within Agile team setting.
Responsibilities
- Participate in full software development lifecycle implementing, testing and maintaining custom data solutions.
- Select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client's business strategy.
- Act as a technical consultant for the client.
- Work as a key member of an Agile Team.
Requirements
- BS/MS degree in Computer Science, Engineering or related field (mandatory).
- Minimum of 3 years of relevant experience on software development using MS SQL Server, ETL tools (e.g. MS SSIS, Oracle Data Integrator etc.) or Azure Data Services (e.g. Azure Data Factory, Azure SQL Database) within Data Warehouse environments.
- Minimum of 2 years of Databricks experience.
- Experience on Informatica Cloud & Python capabilities will be considered as a plus.
- Banking oriented experience will be considered as a strong plus.
- Understanding of software applications' fundamental principles, communication methods, and their impact on users' experience.
- Very Good Testing & Quality Assurance skills.
- Good programming skills with a mindset of solving hard problems efficiently with creativity.
- Communication & Time Management Skills.
- Able to work independently and as part of a group.
- Analytical thinking & Problem-Solving Attitude.
- Knowledge of Microsoft Office.
- Languages required: English and Greek, both written and verbal.
Benefits
- Professional development through participation in challenging, real business projects in different industries.
- Working in a dynamic and fast-growing Technology Company with recognized partners.
- Opportunity to work in a diverse environment with talented colleagues.
- Competitive remuneration package.
- Private Health Insurance.
- Training & Development.
- Flexible Working Environment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
Senior Product Manager defining platform capabilities for Data Cloud in Salesforce. Collaborating with R&D teams while shaping product strategy for Data 360 integration.
Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.
Data Engineering Associate focusing on data quality control and management for distribution platform. Collaborates on large scale data projects to ensure data accuracy and availability for users.
Data Architect managing enterprise data platform built on Microsoft Fabric at Johnstone Supply. Leading architectural standards and collaborating with business and IT leaders for strategic data - driven insights.