Genel Bakış

We are seeking fresh graduates and experienced professionals who are willing to join our high performing consulting team.


  • Working in cross-functional teams as an M-Shaped Professional who can bring together several technical capabilities and industry know-how to transform big data into business insights
  • Participating in requirement analysis and prototyping sessions as Data Analyst with the business users to define data needs
  • Working as Data Engineer on Data Preperation, Data Modeling, Data Integration, Data Visualization, Business Intelligence and Data Quality tasks
  • Supporting Data Science activities
  • Participating in the full development life cycle from analysis, design and implementation to testing, documentation, delivery and monitoring


If you have the ambition to grow in a dynamic environment and have expertise in at least one of the following domains, you might be the right candidate for us!


  • Experience in the industries in which we involve such as Banking, Finance, Insurance or Telco
  • Being familiar with business terminology, regulations and business standards being imposed on the industry
  • Ability to understand core business concepts and keywords
  • Data Literacy capability -the ability to read, write and communicate data in context, with an understanding of data sources and the ability to describe resulting business outcome

Data Modeling

  • Data Modeling Concepts and Principles (Entity Relationship Model, Dimensional Model, Data Vault, Normalization, Inheritance etc.)
  • Data Modeling Tools (Erwin, Power Designer, Toad Data Modeler)
  • Data Modeling Lifecycle (Conceptual, Logical and Physical Data Modeling)
  • Physical Data Modeling best practices on different DBMS (Database Management Systems)
  • Data model performance tuning and troubleshooting

Data Integration

  • Experience with different types of DBMS like Relational DBs (Oracle, MS SQL Server, IBM DB2), NoSQL DBs (HBase, Cassandra, Redis etc) DB Appliances (Oracle Exadata, IBM Netezza, SAP Hana)
  • Programming proficiency in (SQL, Python, or Scala/Java)
  • Data Integration Tools (Informatica, Oracle Data Integrator, IBM DataStage)
  • Scheduling and/or Orchestration Tools (UC4, ESP, Tivoli, Airflow, Nifi)

Big Data Technologies

  • Cloudera Hadoop/Spark ecosystem
  • Design and development experience on Hadoop stack including Hive, Impala, Spark
  • Messaging and Routing Technologies (NiFi, Kafka)
  • CI/CD environments (GitHub, Jenkins, GitLab)

Business Intelligence

  • Traditional BI Tools (SAP Business Objects, OBIEE, Microstrategy)
  • BI & Analytics Platforms (Tableau, MS Power BI, Qlik Sense)
  • Dashboarding, Data Visualization and Reporting know-how

Data Science

  • Advanced Analytics Flow (Business Understanding, Data Preprocessing, Analyze & Model, Deployment & Monitoring)
  • Data Science Tools and Platforms (Knime Data Science Platform, SAS, R Studio, H2O)

Data Quality

  • Data Quality Management and Data Quality Lifecycle
  • Data Quality Tools (SAS Data Quality, Informatica Data Quality Solutions)


  • Previous Data and Analytics Services experience is a plus
  • Excellent problem solving, documentation, communication and presentation skills
  • Fluency in English and Turkish

“6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında kişisel verilerinizin işlenmesinden doğan haklarınıza ve bu konudaki detaylı bilgiye adresinde yer alan aydınlatma metnimizden ulaşabilirsiniz.”


We help organizations unleash the power of their data by providing business and technology solutions. Before applying to our job opening, start by getting to know us better by following our Linkedin Company Page.