Senior Data Engineer

Starcom Mediavest Group Germany Gmbh

$88K — $165K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BA/BS in Computer Science or related field.
  • 6-8 years of experience in data engineering or large-scale data systems.
  • Strong track record with Databricks, AWS, SQL, Python, and modern ETL/ELT frameworks.
  • Proficiency with Databricks, Spark, SQL, and Python.
  • Hands-on experience with AWS services and cloud-native development.
  • Deep understanding of distributed systems and cloud data architecture.
  • Experience with Kafka, Airflow, Docker, and Kubernetes preferred.

Responsibilities

  • Identify and resolve production issues, optimizing data processing performance.
  • Design, build, and optimize cloud-native data pipelines using Databricks, Spark, SQL, and Python.
  • Enhance cloud data platform reliability and scalability using AWS services.
  • Apply technical expertise to solve complex engineering problems and influence architecture decisions.
  • Collaborate with cross-functional teams to deliver scalable data solutions.
  • Drive continuous improvement in engineering standards and platform capabilities.
  • Communicate technical concepts effectively, fostering collaboration.

Benefits

  • Flexible time off (FTO) and 15 paid holidays.
  • Paid sick time.
  • Parental/new child leave and childcare assistance.
  • Comprehensive health coverage, 401(k), and tuition assistance.
  • Employee recognition and charitable donation matching.
Full Job Description
Job Description

We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at scale and brings deep expertise in Databricks, AWS cloud services, and modern data integration. You will design and operate high-performance, cloud-native data pipelines and analytics systems that power mission-critical workloads across our Ad Stack and external data ecosystems.

If you are energized by distributed systems, platform thinking, automation, and building reliable data products in a fast-moving environment, this is an opportunity to make meaningful technical impact. Join a team where you're empowered to unleash your full potential by working with the most cutting-edge concepts in Ad-Tech.

Responsibilities

  • Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing.
  • Build Scalable Data Products: Design, build, and optimize cloud-native data pipelines using Databricks, Spark, SQL, and Python to support large-scale ingestion, transformation, and delivery of high-value data across the platform.
  • Own Platform Reliability and Scale: Advance our cloud data platform with AWS services and strong engineering field, improving scalability, observability, resilience, cost efficiency, and operational excellence.
  • Lead with Technical Depth: Apply deep expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to solve complex engineering problems and influence architecture decisions.
  • Partner Across Functions: Collaborate with cloud architects, integration engineers, analysts, and product partners to deliver data solutions that are scalable, maintainable, and aligned to business outcomes.
  • Drive Continuous Improvement: Continuously improve on data engineering standards, developer productivity, automation, and platform capabilities by bringing forward modern tools, patterns, and guidelines. Influencing technical decisions and contributing to our evolving platform.
  • Communication: Clearly articulate technical concepts and solutions to internal teams and partners, fostering a collaborative environment.
  • Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing.


Qualifications

What you'll bring with you:
  • BA/BS in Computer Science or related field.
  • 6-8 years of experience in data engineering, cloud data platform engineering, or large-scale data systems.
  • Strong track record of delivering production-grade solutions using Databricks, AWS, SQL, Python, and modern ETL/ELT frameworks.
  • Proficiency in working with Databricks, Spark, SQL, and Python from previous professional positions.
  • Hands-on experience with AWS cloud services, Linux, workflow orchestration, and modern data pipeline development in cloud-native environments.
  • Deep understanding of distributed systems, cloud data architecture, data warehousing, and integration patterns.
  • Experience with Kafka, Airflow, Docker, Kubernetes, relational and NoSQL databases, and enterprise-scale data platforms is highly valued.
  • Strong communication, problem solving, and ownership approach, with the ability to work effectively across teams and contribute in a high-performance engineering environment


Why you might stand out from other talent:
  • Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow (a plus).
  • Familiarity with the internet/digital advertising ecosystem is a plus.


Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When You Join Us, We'll Create Something EPIC Together

Our pillars aren't just words. They're how we show up every day.
  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.
  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.

#LI-AM1

Compensation Range: USD $88,900.00 - USD $165,100.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/10/2026.

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