Senior Data Engineer

Athens - Greece

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job description

About Us

DeepSea was founded to bring the latest AI technology to make the world of shipping leaner greener and better connected. Our cloud platforms harness deep learning models trained on real-time data to enable our customers to optimise the routes speeds operation and maintenance of their vessels saving fuel money time and reducing environmental impact. DeepSea talent is spread across Greece the United Kingdom the Netherlands Romania Thailand and Japan and we are growing quickly.

We are a scale-up company - meaning you will be bringing us to the next level and deliver a tangible contribution to a more sustainable shipping world. There is no complex hierarchy nor long approval processes. We just deliver. You will be joining a company with highly skilled and smart people who love solving complex problems.

Main Responsibilities

Design build and maintain the data infrastructure and pipelines to support AI model training and analytics.
Help us migrate redundant legacy systems into a structured high-performance environment where data integrity is the baseline.
Have a cost-first mindset prioritizing efficient code and smart joins over expensive resource scaling.
Fine-tune our performance at the storage level focusing on data layout and engine optimization rather than simply scaling hardware.
Design and implement high-throughput streaming architectures capable of processing granular event-level data in real-time while maintaining low latency and high availability.
Architect the full data lifecycle ensuring everything we build is resilient for the source and optimized for the end user.
Collaborate with cross-functional teams (Architects Software Engineers AI specialists) to design data solutions based on business needs and best practices.

Job requirements

Main Requirements

Bachelors or Masters degree in Engineering Mathematics Physics Computer Science or related field.
Proven expertise in designing developing and rolling out production scalable data processing systems for ML/AI and analytics workloads preferably using Databricks or similar.
Strong understanding of relational and non-relational database design including normalisation indexing and partitioning strategies.
Expertise in schema modeling for structured and semi-structured data (e.g. Delta Lake Parquet JSON).
Strong understanding of data security compliance and governance including data privacy regulations secure data handling auditability and enterprise-grade data management.
Hands-on expertise with Spark-based data engineering Delta Lake warehouses ETL/ELT data integration MLflow integration collaborative notebooks and scalable model deployment.
Ability to optimize Lakehouse performance using Delta Lake features
Solid grasp of data warehousing concepts and performance tuning in cloud environments (e.g. Azure AWS).
Programming skills in Python SQL Pandas PySpark NumPy SciPy or similar frameworks.
Experience in mentoring cross-functional teams.
Strong communication and collaboration skills in an agile dynamic and cross-disciplinary environment.

Nice to Have

Experience in Databricks Structured Streaming.
Experience in using Kafka and Flink or similar.
Familiarity with Databricks on AWS including integration with S3 APIs and secure data access patterns.
Knowledge of Dimensional Modeling (Star/Snowflake schemas) for BI and reporting use cases.

What we offer:

You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry and will also receive:

Competitive remuneration package: Skill & experience-based salary and eligibility for additional employee benefits.
Health Package: Private health insurance coverage and mental health - therapist benefit
Paid leaves: emergency and medical leaves.
Learning and Development Package: Access to courses platform and eligibility for seminars conferences and workshops
Remote Flexibility: Great office space in the heart of Athens with hybrid option.

At DeepSea we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no-one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin gender or sexuality age or family status disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed so we do everything we can to make our environment welcoming and safe for everyone.

Data Privacy

The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful your data will be retained for 5 (five) years to consider you for future opportunities. After this period your data will be deleted or case you do not wish for the company to keep your CV and personal data please send an email to

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Job descriptionAbout UsDeepSea was founded to bring the latest AI technology to make the world of shipping leaner greener and better connected. Our cloud platforms harness deep learning models trained on real-time data to enable our customers to optimise the routes speeds operation and maintenance o...