Senior Data Engineer   (VAC-C838)

Τομέας/Κατηγορίες Εργασίας: Πληροφορική – Τηλεπικοινωνίες
Τύπος Απασχόλησης: Πλήρης Απασχόληση
Δημοσιεύθηκε πριν από: 1 μήνα
Λήγει σε 3 εβδομάδες
Reference Number: FJ170257

Περιγραφή Θέσης

Our client is an online trading service provider with offices globally and they are currently recruiting for a Senior Data Engineer for their Limassol-based office


Your role:

  • We are looking for a detail-oriented Senior Data Engineer with the capability to define the data pipeline of our future data models. 
  • You will leverage technologies such as Google Cloud Platform, Airflow, Python, Docker, and PostgreSQL to help provide the company with dependable business intelligence solutions. 
  • As part of this role, you will develop, test, and maintain architectures for data processing and build Extract, Transform, and Load (ETL) pipelines. 
  • You will be a key contributor to making our data warehouse trustworthy by ensuring data accuracy. 


Your challenges:

  • Ensure data integrity while extracting data from in-house and third-party complex sources and manage its systematic storage.
  • Responsible for data security, accuracy, and accessibility. 
  • Provide tangible business solutions and decisions using your expertise in the data engineering domain. 
  • Design and build high-performance, secure, and scalable company data warehouse and pipeline to support data science projects following best practices. 
  • Debug and resolve complex issues, and recommend improvements to ensure a well-functioning ETL pipelined architecture.
  • Transform raw data into easy-to-use tables for the Data Analysts. 
  • Keep up-to-date on company products and new releases to efficiently plan changes in our data warehouse or pipelines. 


What you have :

  • A minimum of 5 years of experience in the data engineering field 
  • Expertise in data modelling techniques such as Kimball star schema, Anchor modelling, and Data vault 
  • Competence in object-oriented or object function scripting languages such as Python 
  • Proficiency in relational SQL and NoSQL databases, preferably with PostgreSQL, PITR, Pg_basebackup, WAL archival, and Replication
  • Familiarity with column-oriented storage or data warehouses such as parquet, Redshift, and Bigquery 
  • In-depth skills in developing and maintaining ETL/ELT data pipelines and workflow management tools such as Airflow 
  • Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, scheduled queries, Cloud Storage and Cloud Functions 
  • Familiar with alerting and self-recovery methods concerning data accuracy 
  • Analytical skills with the ability to transform data into optimal business decisions 
  • Expertise in peer reviewing pipeline codes and suggesting improvements when required 
  • Experience in helping teams make informed business decisions with data 
  • Strong communication and presentation skills 
  • Fluency in spoken and written English 


What’s good to have:

  • A good background in cybersecurity and data protection 
  • Proficiency in using data pipeline and workflow management tools such as Luigi 
  • Exposure to maintaining and monitoring database health and resolving errors 
  • Experience in managing stakeholders’ expectations and technical requirement gathering 
  • Familiarity with container technologies such as Docker 
  • A fintech background 


Our team :

  • We are the Business Intelligence team. We lead the organisation in cultivating a data-driven culture as our company moves toward the future. 
  • We collect meaningful data and analytics for us to deeply understand our consumers and build more valuable products and services. 
  • What we do is incredibly important in driving smart marketing decisions, optimising our business, and increasing profitability.



  • Market-based salary
  • Annual performance bonus
  • Casual dress code
  • Access to Provident Fund
  • Medical reimbursement plans
  • Stunning office with 360° sea and mountain views


TO APPLY for this job opportunity, send your CV (in English please) to [email protected] and include the reference:  Senior Data Engineer – VAC-C838. We look forward to hearing from you!


Κύπρος, Λεμεσός