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 Recruitment-Serbia@synechron.com .

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 .

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