Data Software Engineer
Thessaloniki, Central Macedonia, Greece
Applications have closed
PRODYNA
Holistic customer experiences based on strong technologies - PRODYNA offers strategy, design, development and operation for digital transformation.Company description
PRODYNA focuses on customer experience, by designing, implementing, and operating custom software applications for mid to large size enterprises. We are committed to offering our customers innovative and future-proof solutions, through digitalisation and cloud computing strategies. As a member of Cloud Native Computing Foundation (CNCF), PRODYNA promotes speed, agility, and scalability in software development.
A few words about you working with us
We are about to expand our Data Engineer team in SKG & ATH! Their force is coming from five (5) at the moment cross PRODYNA SE but we want to reach out ten (10)
We are looking for a skilled developer to join our team, which consistently raises the bar on innovation, customer experience and technical services.
If you are NOT a “ninja”, “macho” or “rockstar” developer but a Software Engineer, continue reading this.
What you will be working on
You will be working mainly on external client projects. Take a look here:https://www.prodyna.com/en/customers
As a Data Engineer at PRODYNA you elaborate complex solutions as a team in different projects. Our customers come from industries such as aviation, banking and the chemical industry. The close contact to them is the focus of all our projects. At PRODYNA you have the opportunity to shape challenging projects independently and to support our customers in the best possible way.
Your daily tasks
- You are responsible for the design and conception of data pipelines and data integrations tracks that open up scalable high amounts of data from systems
- You take over the planning and implementation with modern frameworks and backend services for the provision and use of data
- You are responsible for the optimization of pipelines as well as the integration into cloud platforms
- You implement assets and solutions to ensure data quality, clean data and provide aggregated data for analysis
- Recording and specifying the requirements of our customers is also part of your area of responsibility
Schedule
This is a full time 40-hour per week role.
We expect you to be available on a daily basis, during operation hours (10:00 to 18:00)
Location
This job follows the hybrid model. Feel free to organize your weekly programme & choose your days in the office
Requirements
Experience
We expect you to perform and take initiative based on your professional experience
Skills
- You have six (6) of working experience in backend development, especially in data-driven projects and their interaction with data analysis
- You are familiar with the development of pipelines and integration routes, as well as the design of system interfaces (performance optimization)
- You think like an engineer: You plan architecture and software with foresight so that they are automated, stable and maintainable
- You are familiar with Big Data architectures and technologies (e.g. SQL & NoSQL databases, Spark, Kafka, Elastic) and programming (e.g. Python, Java, .NET Core)
- You know or are interested in cloud tools such as Databricks, MLflow, Azure Synapse, Azure Data Factory or AWS alternatives.
- Good English skills complete your profile & German is a super plus
Benefits
Compensation & Perks
- Salary: We will settle on the exact compensation amount based on prior experience and skills.
- Private health insurance & Life Insurance from day #1
- Health management scheme (weekly sessions & monthly challenges)
- 25 vacation days
- Team events tech oriented and more
- International network
- Lunch in the office
- Employee referral programme/ bonus
Dedicated budget for:
- Employee education ~ 800€
- Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile ~ 3000€
Tags: Architecture AWS Azure Banking Big Data Data analysis Databricks Data pipelines Data quality Kafka MLFlow NoSQL Pipelines Python Spark SQL
Perks/benefits: Health care Lunch / meals Salary bonus Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs