Data Engineer
At Synechron, we harness the power of digital transformation to drive business success. As a global consulting firm, we combine creativity with advanced technology to deliver innovative solutions across industries. Recognized with multiple employer awards, we are committed to building strong expert teams and a collaborative, high-impact work environment.
We are hiring a Data Engineer
Hybrid working model - Novi Sad or Belgrade
Role Description
We are looking for a skilled Data Engineer to design, build, and maintain scalable, secure, and reliable data platforms that support analytics, reporting, and AI/ML initiatives across the enterprise.
In this role, you will be responsible for developing modern data architectures, building robust ETL/ELT pipelines, and enabling end-to-end data flows that support business intelligence, machine learning, and Generative AI use cases. You will work closely with Data Scientists, AI Engineers, Platform Teams, and Business Stakeholders to ensure trusted, high-quality, and accessible data is available across the organization.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data
- Build and support modern data architectures including data lakes, data warehouses, and real-time streaming platforms
- Ingest, integrate, process, transform, validate, and enrich data from internal and external sources while ensuring high data quality and consistency
- Design and maintain data models that support analytics, reporting, and AI/ML use cases
- Collaborate with Data Scientists and AI Engineers to provide curated datasets and support feature engineering initiatives
- Develop batch and real-time data processing solutions using distributed computing technologies
- Support integration of data pipelines with machine learning training, deployment, and monitoring workflows
- Implement data governance, security, privacy, and compliance controls aligned with enterprise standards
- Optimize data pipelines and platforms for performance, scalability, reliability, and cost efficiency
- Implement monitoring, logging, alerting, and observability solutions while proactively troubleshooting failures and resolving performance bottlenecks across data platforms
- Maintain data lineage, metadata, documentation, and audit-related artifacts
- Support data migration, modernization, and cloud transformation initiatives
- Collaborate with DevOps teams to automate deployment processes and CI/CD pipelines for data workloads
Your Profile
Must Have Requirements
- Proven experience in Data Engineering, Data Platform Engineering, Big Data Engineering, or a related field
- Strong hands-on experience designing and maintaining ETL/ELT pipelines and enterprise data architectures
- Advanced knowledge of SQL and data modeling principles
- Strong programming experience with Python and/or Scala
- Experience working with relational and NoSQL databases
- Experience with data lakes, data warehouses, and large-scale analytical platforms
- Hands-on experience with Big Data and distributed processing technologies such as Apache Spark or Hadoop
- Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
- Knowledge of real-time data streaming and event-driven architectures
- Experience implementing data governance, data quality, and security best practices
- Strong analytical, troubleshooting, and problem-solving skills
- Experience with CI/CD, automation, and version control practices
- Ability to collaborate effectively with cross-functional teams and stakeholders
Nice to Have
- Experience supporting AI/ML pipelines, feature stores, model training, or MLOps initiatives
- Experience within banking, financial services, fintech, or other highly regulated industries
- Experience with Azure Data Factory, Databricks, AWS Glue, or Google Dataflow
- Experience with Apache Kafka or Azure Event Hubs
- Experience with Airflow or other workflow orchestration platforms
- Knowledge of Snowflake, BigQuery, PostgreSQL, SQL Server, MySQL, or similar database platforms
- Familiarity with Azure Monitor, Grafana, Prometheus, or comparable monitoring solutions
- Azure Data Engineer Associate certification
- AWS Data Analytics Certification
- Google Professional Data Engineer Certification
- Databricks Certification
What’s in it for you:
- Competitive compensation package based on experience and skills
- Flexible hours and hybrid work options, allowing you to achieve a work-life balance that suits your needs
- Private health insurance plan
- Access to continuous training, accredited certifications, and a range of resources to help you grow professionally
- Personalized leadership training program
- FitPass membership to support your well-being and mental health support programs
- Comprehensive Referral Rewards Program
For any additional information or questions, feel free to reach out to us at [email protected].
Note: One of the prerequisites for this position is that the prospective candidate must possess a valid work permit for Serbia.
We appreciate the interest of all applicants. Please note that only those whose qualifications closely match the position requirements will be contacted for the next steps. All applications will be handled confidentially.
S YNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.