Senior Data Software Engineer with Databricks

EPAM Systems; Turkey; On-site; TRY 2,915,000 - 4,373,000; Full time

Benefits offered by this job

Private health insurance

Mentoring programs

Learning platforms

Extra leave days

Referral bonuses

Job summary

EPAM Systems is seeking a Senior Data Software Engineer with Databricks to join an early-stage data platform initiative. You will shape and mature the platform while collaborating with cross-functional teams to deliver secure data solutions.

You will work with architects to choose optimal solutions, implement reusable components, and ensure platform performance and security. The role emphasizes data engineering, visualization, and strong communication in English.

Qualifications

• 3+ years of experience in data engineering, with proficiency in Apache Airflow and data transformations.
• Proficiency in data visualization.
• Proficiency with databases, especially PostgreSQL.
• Excellent communication and interpersonal skills.
• English level B2 is required.

Responsibilities

• Share best data engineering practices within the team and help to adopt them.
• Work closely with architects to select the most optimal technical solutions.
• Lead efforts to implement reusable software components to enable fast-paced data pipeline delivery.
• Collaborate with cross-functional teams to ensure successful implementation and maintenance of the platform.
• Ensure data security and confidentiality in the platform.
• Provide technical assistance and support to stakeholders as needed.
• Develop and maintain the Network Data hub platform.

Skills

Data engineering

Data visualization

Communication skills

English (B2)

Tools

Apache Airflow

PostgreSQL

Apache Kafka

Apache Spark

Apache NiFi

Job description

We are seeking a Senior Data Software Engineer with Databricks to join an early-stage data platform initiative, playing a key role in shaping and maturing the platform while working closely with cross-functional teams to deliver robust and secure data solutions.

Responsibilities

• Share best data engineering practices within the team and help to adopt them
• Work closely with architects to select the most optimal technical solutions
• Lead efforts to implement reusable software components to enable fast-paced data pipeline delivery
• Collaborate with cross-functional teams to ensure successful implementation and maintenance of the platform
• Ensure data security and confidentiality in the platform
• Provide technical assistance and support to stakeholders as needed
• Develop and maintain the Network Data hub platform

Requirements

• 3+ years of experience in data engineering, with proficiency in Apache Airflow and data transformations
• Proficiency in data visualization
• Proficiency with databases, especially PostgreSQL
• Excellent communication and interpersonal skills
• English level B2 is required

Nice to have

• Familiarity with Apache Kafka, Apache Spark, and Apache NiFi

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.