Data Engineer | Turning Raw Data into Gold (B2B or CIM)

Tecknoworks is a global technology consulting company. At our core, we embody values that define who we are and how we operate. We are curious, continuously seeking to expand our understanding and question conventional wisdom. Fearlessness drives us, propelling us to take daring steps to achieve significant outcomes. Our aspiration to be inspiring motivates us to consistently reach for our personal and collective best, setting an example for ourselves and those we interact with. Collaboration is our strength, capitalizing on the diverse brilliance within our team. We aim to provide consistent and lasting positive outcomes for our clients.

We are seeking highly skilled and motivated Data Engineers to join our growing data team. The ideal candidates will be responsible for building and maintaining scalable data pipelines, managing data architecture, and enabling data-driven decision-making across the organization. The roles require hands-on experience with cloud platforms, specifically AWS and/or Azure, including proficiency in their respective data and analytics services as follows:

Amazon Web Services (AWS):

Experience with AWS Glue for ETL/ELT processes
Familiarity with Amazon Redshift, Athena, S3, and Lake Formation
Use of AWS Lambda, Step Functions, and CloudWatch for data pipeline orchestration and monitoring
Exposure to Amazon Kinesis or Kafka on AWS for real-time data streaming
Knowledge of IAM, VPC, and security practices in AWS data environments

Microsoft Azure:

Experience with Azure Data Factory (ADF)/Synapse for data integration and orchestration
Familiarity with Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database
Hands-on with Databricks on Azure and Apache Spark for data processing and analytics
Exposure to Azure Event Hubs, Azure Functions, and Logic Apps
Understanding of Azure Monitor, Log Analytics, and role-based access control

Location: Romania (Remote)

Contract type: Employment or collaboration contract

Requirements

Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and store data from diverse sources
Optimize data systems for performance, scalability, and reliability in a cloud-native environment
Work closely with data analysts, data scientists, and other stakeholders to ensure high data quality and availability
Develop and manage data models using DBT, ensuring modular, testable, and well-documented transformation layers
Implement and enforce data governance, security, and privacy standards
Manage and optimize cloud data warehouses, especially Snowflake, for performance, cost-efficiency, and scalability
Monitor, troubleshoot, and improve data workflows and ETL/ELT processes
Collaborate in the design and deployment of data lakes, warehouses, and lakehouse architectures

Required Qualifications:

3+ years of experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python
Solid understanding of data modeling, ETL/ELT processes, and pipeline orchestration
Experience working in DevOps environments using CI/CD tools (e.g., GitHub Actions, Azure DevOps)
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)
Familiarity with data cataloging tools like AWS Glue Data Catalog or Azure Purview
Strong interpersonal and communication skills—able to collaborate with cross-functional teams and external clients
Adaptability in fast-paced environments with shifting client needs and priorities
Analytical mindset with attention to detail and a commitment to delivering quality results

If you have the skills and experience, we're looking for, we would love to hear from you. Please submit your resume showcasing your relevant expertise for this role. We are eager to see what you can bring to our team!

Data Engineer | Turning Raw Data into Gold (B2B or CIM)

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