Epignosis learning technologies Logo

Epignosis learning technologies

Data Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Athens
Mid level
In-Office
Athens
Mid level
As a Data Engineer, you will design, develop, and maintain scalable data pipelines, optimize database performance, and ensure data integrity, collaborating across teams.
The summary above was generated by AI

At Epignosis, we build workplace learning software that enables more than 70,000 teams worldwide to offer training to millions of people. Our portfolio of tools can be used by organizations of any size and includes TalentLMS - a zero-overhead cloud LMS, eFront - an enterprise LMS, TalentCards - a mobile app for training the deskless workforce, and TalentHR - a lightweight HRIS to manage people ops. We are competing with the world’s top eLearning solutions and we aim at becoming world’s #1.

We're on a mission to democratize training by developing simple, accessible, and affordable software. We count 12.000+ companies as customers and with more than 12 million users across 126 countries logging in to use our platforms, we are a much-loved global leader in learning tech. At home, we are quickly becoming one of the largest SaaS company to come out of Greece.

We are looking for a skilled Data Engineer to join our Data Team and play a key role in implementing our Data Transformation project. The ideal candidate will design, develop, and maintain scalable data pipelines and workflows to support analytics and business intelligence initiatives. Additionally, they will be responsible for managing data infrastructure, optimizing databases and schemas, and ensuring data integrity.

This role involves close collaboration with Developers, DevOps, AI Engineers and other cross-functional teams to optimize queries and databases, propose scalable architecture solutions, and identify data requirements that drive our services forward.

Responsibilities

As a Data Engineer, you will:

  • Monitor and optimize database performance, implementing tuning measures while ensuring data integrity and security.
  • Provide proactive and reactive data management support, including user training and troubleshooting.
  • Work closely with developers to optimize queries and design efficient database schemas.
  • Collaborate with AI Team to support AI-driven initiatives.
  • Design, develop, and maintain ETL pipelines to efficiently process and integrate data from multiple sources.
  • Partner with different team within the Engineering department to understand data needs and deliver data solutions.
  • Implement data modeling techniques to create efficient schemas for relational and non-relational databases, such as Aurora, DynamoDB or other.
  • Optimize data workflows and storage solutions to enhance performance and scalability.
  • Ensure data quality and consistency through validation and cleaning processes.

Requirements

To be successful in this role as a Data Engineer, you should have:

  • 3+ years of experience in data engineering or similar roles.
  • Proficiency in Python and experience with Apache Spark for large-scale data processing.
  • Proficiency in SQL and hands-on experience with database management systems.
  • Experience with cloud technologies, particularly AWS (e.g., S3, Glue, Lambda).
  • Strong understanding of databases, data lakes, and data warehousing principles.
  • Experience with NoSQL databases (e.g., MongoDB, DynamoDB).
  • Strong data modeling skills to support analytical and reporting needs.
  • Experience in designing and optimizing ETL/ELT pipelines.
  • Familiarity with data warehousing solutions and BI tools (e.g., Tableau, Power BI, QuickSight).
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Strong analytical and problem-solving abilities.
  • Multi-constrained optimization considering performance, cost, value, complexity, ease of maintenance and tradeoffs thereof.
  • Excellent communication and teamwork skills.
  • Ability to work in a fast-paced environment and manage multiple priorities.


Bonus points

  • Experience with big data technologies (e.g., Hadoop, Kafka).
  • Familiarity with AWS Athena and Redshift will be a plus. 

Benefits

The most important thing we offer is a safe and healthy professional environment, giving you the opportunity to work on products that positively impact millions globally. Become part of Epignosis, a diverse group of smart, fun, and GIF-loving professionals in offices worldwide, including the U.S., the U.K., Greece, and Cyprus! Our employees enjoy benefits that enhance productivity and contribute to their professional development. Apart from that, we also offer:

  • Competitive compensation packages – because great work deserves great rewards.
  • Participation in the Epignosis Employee Stock Options Plan – because when we grow, you grow with us.
  • Inclusive parental benefits – support for every kind of family, no matter your path to parenthood.
  • Private health insurance plan – your well-being matters to us, on and off the clock.
  • Meal allowance – fuel your day, your way.
  • Complimentary meals at the office – think daily breakfast spreads and lunch catered three times a week. Yes, we’re serious!
  • Access to our in-house blood bank – giving back is in our blood (literally).
  • Professional development initiatives – we’re not just creating LMSs for others, we’re also learners ourselves!
  • Gorgeous office space – work where you thrive, whether that’s in our beautiful HQ.
  • A vibrant working environment – surrounded by brilliant, quirky, passionate minds.

Top Skills

Spark
AWS
DynamoDB
Glue
Lambda
MongoDB
Power BI
Python
Quicksight
S3
SQL
Tableau

Similar Jobs

Yesterday
In-Office
Athens, GRC
Junior
Junior
Information Technology
The Data Engineer will develop and manage data solutions, analyze client data needs, and work in Agile teams on various projects.
Top Skills: AirflowAzure Data FactoryAzure Data ServicesAzure Sql DatabaseDatabricksEtl ToolsMs Sql ServerOracle Data IntegratorPython
3 Days Ago
In-Office or Remote
Athens, GRC
Mid level
Mid level
Software • Analytics
As a Data Engineer, you will build and maintain data pipelines, collaborate with teams to convert data into insights, and optimize data lake architecture in a cloud environment.
Top Skills: AirflowApache KafkaAWSCassandraDagsterGCPPostgresPrefectPythonSparkSQL
Yesterday
In-Office
Athens, GRC
Senior level
Senior level
Information Technology
The Senior Data Engineer will design data warehouses, develop ETL processes, maintain data integrity, and support BI tools.
Top Skills: Data Stage CloudpackETLIbm Data TechnologiesMs Sql ServerPythonSQLSsis

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account