Incelligent builds Big Data, analytics, and AI/ML solutions that help enterprise and public sector organizations advance their digital transformation. Working across a diverse product portfolio, the team applies modern data-driven development practices to create production-ready software that brings together data engineering, analytics, and artificial intelligence for real-world use cases.
As a Data Engineer at Incelligent, you will contribute to Cloud-based data engineering initiatives that support robust, scalable data platforms and governance practices. This role is well suited to someone who enjoys working at the intersection of modern data infrastructure and applied innovation, with a particular focus on the Databricks platform, the Azure data ecosystem and the delivery of high-impact solutions for complex organizational environments.
Responsibilities- Design data lake zones, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Work with relational databases, data warehouses, and data lakes as part of modern data platform delivery.
- Translate responsibly business logic / analysis into production ready pipelines that deliver accurate results for critical business domains
- Contribute to reusability initiatives, returning implementation assets back to the company to efficiently re-use it in future projects
RequirementsMinimum Requirements
- Minimum 4 years of experience in data engineering using at least one core language of Python, Scala, or Java.
- Strong SQL knowledge with hands-on experience in data modeling, querying, transformation, and optimization.
- Proven experience with Apache Spark, or a similar distributed data processing framework.
- Experience using the Databricks Platform (Unity Catalog, Notebooks, SQL Warehouses, LakeFlow)
- Familiarity with data governance, metadata management, and data catalog solutions (e.g. Unity Catalog).
- Experience designing, building, and maintaining scalable ETL/ELT pipelines for structured and unstructured data.
- Experience working with relational databases, data warehouses, and data lakes.
- Familiarity with other cloud-based data platforms and data services in AWS, Azure, or Google Cloud.
- Knowledge of workflow orchestration tools such as Apache Airflow, Prefect, or similar.
- Fundamental usage of git-based code version control for python and SQL-based code-bases
- MSc in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or a related field.
- PhD or advanced specialization in Data Engineering, Computer Science, or a related field.
- Experience with streaming technologies such as Apache Kafka, Spark Streaming, or Apache Flink.
- Experience using Lakehouse Catalog technologies (e.g. Delta, Iceberg) featuring data versioning, ACID and time-travel as well as performance tuning techniques (e.g. Liquid Clustering)
- Experience with data contracts, data quality checking automation using schema and value-matching techniques
- Experience with modern data warehouse technologies such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience implementing CI/CD pipelines for data engineering workflows (e.g. Azure DevOps, Databricks Bundles).
- Knowledge of Infrastructure as Code such as Terraform, CloudFormation, or similar.
- Fluent in English.
- Native or fluent Greek, both written and spoken.
- Eligible to work in Greece.
Benefits
Participation in state-of-the-art projects and tech challenges
Personal and professional development, amongst industry experts and talented people
Continuous learning, having access to broad resources for professional and personal development
Friendly environment and fun team member
Commitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics. We respect your personal data.
All personal information in your application and CV will remain strictly confidential.
Skills Required
- Minimum 4 years in data engineering using Python, Scala, or Java
- Strong SQL knowledge with data modeling, querying, transformation, and optimization
- Proven experience with Apache Spark or similar distributed data processing frameworks
- Experience using the Databricks Platform (Unity Catalog, Notebooks, SQL Warehouses, LakeFlow)
- Familiarity with data governance, metadata management, and data catalog solutions (e.g., Unity Catalog)
- Experience designing, building, and maintaining scalable ETL/ELT pipelines for structured and unstructured data
- Experience working with relational databases, data warehouses, and data lakes
- Familiarity with cloud data platforms and services in AWS, Azure, or Google Cloud
- Knowledge of workflow orchestration tools such as Apache Airflow, Prefect, or similar
- Fundamental usage of git-based code version control for Python and SQL code-bases
- Fluent in English
- Native or fluent Greek, both written and spoken
- Eligible to work in Greece
What We Do
INCELLIGENT is an Athens-based Data Analytics company established in 2014 with the aim to productize Big Data and AI for optimizing operations and processes in the Telecom, Fintech and Public Sectors. Incelligent is developing Analytics Solutions and Products and offers Services based on the following principles: • Readiness in dealing with Big Data, in all steps of the data pipeline covering, ingestion, pre-processing and processing, in both batch and streaming modes • Continuous prototyping of State-of-the-art Machine Learning algorithms and their proper preparation to be delivered and integrated into production environments • Highly modular, modern design based on microservices for fast and flexible deployment cycles • Best practices in Data Ops for perfect alignment of Software Development with Data science lifecycles • Carefully selected Open Source technologies, the ones with greater potential and support, that lead to low cost but efficient solution All the above with the ultimate goal to satisfy our customer’s real needs & pains Incelligent’s people is a great mixture of highly skilled professionals that include more than 20 Data Scientists/Machine Learning Engineers, Big Data Architects/Engineers. Software Engineers/Developers but also a management team of >20 years of experience in R&D and Commercial activities. The team has excellent understanding of its technology domain, exhibits a huge academic record in intelligent systems and data-driven optimization (publications, standardization & patents), has experience gained through referenced commercial deployments and most importantly shares the passion about data and AI technology.
