Lead Data Integration Engineer

EPAM Systems; Turkey; On-site; TRY 5,923,000 - 8,885,000; Full time

Benefits offered by this job

Learning platforms access

English courses taught by certified老师

Private health insurance

Extra leave days

Referral bonuses

Job summary

EPAM Systems is seeking an experienced Lead Data Integration Engineer to lead a data solutions team and architect complex, enterprise-grade data pipelines. You will guide 5+ engineers, shape cloud-native and hybrid architectures, and promote best practices in data security and scalability.

The role requires deep expertise in ETL, orchestration tools, and modern software development practices, with a focus on delivering robust pipelines and actionable data assets for enterprise clients.

Qualifications

• 5+ years in data management, database design, migration, storage, and advanced data modeling.
• Experience leading and mentoring data engineering teams (4–7 engineers preferred).
• Hands-on with Talend, AWS Glue, Azure Data Factory, GCP Dataflow or Apache NiFi.
• Strong orchestration and scheduling experience (Apache Airflow/Astronomer).
• Coding skills in SQL, Python (PySpark, Pandas), Scala, SparkSQL, or Bash.

Responsibilities

• Guide a team of data integration and ETL engineers, manage sprint planning, resource allocation, and risk management.
• Conduct regular code reviews and set up testing frameworks for compliant, high-performing, secure code (SQL, Python, Scala).
• Promote modern software practices (CI/CD, Git, modular design, automated alerting).
• Architect end-to-end data pipelines using serverless or hybrid setups.
• Establish robust scheduling/orchestration with Airflow or cloud schedulers for high reliability (>99.5%).
• Model and maintain scalable data systems (OLAP/OLTP, Star/Snowflake, Data Lakes/Lakehouses/Data Meshes).
• Implement ingestion patterns, CDC, micro-batching, delta extracts, and partition maintenance.
• Translate requirements into detailed technical specs and data-flow diagrams with stakeholders.
• Present architectures to C-level executives highlighting ROI and performance gains.

Skills

Data modeling

Team leadership

SQL

Python

Scala

SparkSQL

Cloud platforms

English communication

Tools

Talend

AWS Glue

Azure Data Factory

GCP Dataflow

Apache NiFi

Apache Airflow (Astronomer)

Job description

We are seeking an experienced and visionary Lead Data Integration Engineer to join our growing data solutions team. In this pivotal technical leadership role, you will act as a Tech Lead / Team Lead responsible for architecting, designing, and maintaining complex, enterprise-grade data pipelines.

You will lead a high-performing engineering team (5+ engineers), shaping cloud-native and hybrid data solution architectures while establishing best practices. Leveraging your extensive expertise in cloud infrastructure, database modeling, orchestration, and data security, you will transform raw data environments into robust, high-performance, and scalable analytical assets.

Responsibilities

• Guide a team of data integration and ETL engineers, fostering a collaborative, innovation-driven culture. Manage sprint planning, resource allocation, and risk management
• Conduct regular code reviews and set up testing frameworks to ensure compliant, highly performant, and secure database code (SQL, Python, Scala)
• Act as a role model, championing modern software development practices (CI/CD, version control via Git, modular code design, automated alerting, and monitoring)
• Architect end-to-end data pipeline solutions using serverless frameworks or hybrid setups
• Establish robust pipeline scheduling and workflow orchestration using tools like Apache Airflow (Astronomer) or cloud-native schedulers to achieve high pipeline reliability (>99.5%) and minimize troubleshooting times
• Design, model, and maintain scalable corporate data systems (OLAP, OLTP, Star/Snowflake schemas, Data Lakes, Lakehouses, and Data Meshes)
• Implement modern ingestion patterns, CDC methods, micro-batching, delta extracts, and routine partition maintenance
• Collaborate with product owners, enterprise architects, and business stakeholders to translate complex requirements into detailed technical specifications and data-flow diagrams
• Confidently present advanced technical architectures to C-level client executives, showcasing ROI, architectural benefits, and performance gains

Requirements

• 5+ years of proven experience in data management, database design, migration, storage, and advanced data modeling
• Demonstrated experience leading, mentoring, and developing teams of data engineers (experience managing teams of 4–7 engineers is highly preferred)
• Deep hands‑on experience with major ETL tools such as Talend, AWS Glue, Azure Data Factory, GCP Dataflow, or Apache NiFi
• Strong working experience with orchestration and scheduling engines, particularly Apache Airflow (Astronomer)
• Strong production coding skills in SQL, Python (PySpark, Pandas), Scala, SparkSQL, or Bash
• Extensive knowledge of at least one major cloud platform (AWS, Azure, GCP) with emphasis on big data warehousing engines (such as Redshift, Snowflake, Google BigQuery, or Azure Synapse)
• Proven understanding of cloud security structures (identity and access management, data masking, and RLS) and compliance standards (GDPR, HIPAA, PI)
• Ability to write high‑quality technical design specifications, mapping documentation, and data lineage reports
• Excellent verbal and written English communication (B2+/C1 level), capable of directly managing international clients and conducting presentations

Nice to have

• Experience architecting fully serverless cloud data pipelines (e.g., combining AWS S3, Athena, and AWS Lambda)
• Exposure to integrating machine learning models, computer vision, or generative AI workflows into data pipeline ingestion processes
• Professional certifications in Cloud Architecture (AWS, Azure, GCP), Talend, or Airflow

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well‑being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.