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Description:
OREDATA is a Digital Transformation & IT Consulting firm with over 10 years of proven expertise and hundreds of successfully implemented projects across the EMEA region.
The role involves designing, developing, and maintaining ETL processes to ensure accurate data flow across systems.
Responsibilities include creating and maintaining dashboards, reports, and visualizations to assist teams in making data-driven decisions.
The position requires collaboration with business stakeholders to understand data needs and translate them into technical solutions.
Ensuring data accuracy, consistency, and integrity by performing data quality checks and troubleshooting issues is essential.
The engineer will work with databases, data warehouses, and other data sources to extract, transform, and load (ETL) data.
Optimizing data queries and improving the performance of BI tools is a key responsibility.
Monitoring and maintaining data pipelines to ensure timely data delivery to end-users is required.
Staying current with the latest BI and data engineering trends and technologies is expected, along with bringing innovative ideas to the team.
Requirements:
A Bachelor’s degree in Computer Science or any other relevant engineering field is required.
Candidates must have 8+ years of experience working in a Data Engineer, BI Engineer, or similar role.
Strong SQL skills and experience working with relational databases such as MySQL, PostgreSQL, or SQL Server are necessary.
Experience with BI tools like Power BI, Tableau, or Looker is required.
Knowledge of ETL processes and tools such as Apache Airflow, Talend, or Informatica is essential.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is expected.
Experience in designing, building, and maintaining large-scale data engineering solutions, including data lakes, data warehouses, ETL pipelines, and data modeling is required.
Certifications in cloud technologies, data engineering, or related fields are a plus.
A good understanding of agile processes and the ability to handle ambiguity and make data-oriented decisions is necessary.
Candidates should keep track of the latest industry trends and best practices.
Attention to detail and a solution-oriented mindset are important.
Great communication skills, along with excellent written and verbal communication skills in English, are required.
Benefits:
The position offers remote working and flexible time off.
There is an opportunity to obtain company-paid Professional Certificates in areas such as Google Cloud Platform and Confluent Kafka.
Employees will have access to online training platforms like Udemy, Pluralsight, A Cloud Guru, and Coursera.
The role provides the opportunity to work on international projects.
Private health insurance is included as a benefit.
A birthday leave policy is offered.
The work environment is dynamic, allowing for initiative and responsibility.
The company promotes open communication, flexibility, and a start-up spirit.
There are learning and development opportunities for both personal and professional growth.