Data Engineer

FinOps Weekly; Warszawa; Hybrid; PLN 130,000 - 210,000; Full time

Job summary

Samba TV is seeking a Data Engineer to strengthen its data platform team in Warsaw. The role focuses on building scalable data product architecture and modernizing data frameworks with Databricks and BigQuery.

You will work across ingestion, analytics, and reporting to enable data-driven decisions. You should have hands-on experience with Spark, Python, SQL, and cloud services, along with a strong emphasis on data governance and data quality practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 2+ years of experience in data engineering or a related role.
• Proven experience with Databricks, Apache Spark and BigQuery or Snowflake.

Responsibilities

• Build scalable data product architecture to support internal and external data consumers.
• Modernize data frameworks and integrations with Databricks and BigQuery.
• Develop and optimize data transformations using Apache Spark (PySpark/Scala).
• Implement data governance, access control, and auditing using Databricks Unity Catalog.
• Build automated data quality validation suites and monitoring for data reliability.

Skills

Databricks

Apache Spark

BigQuery

Snowflake

Airflow

Kubernetes

Python

SQL

Data governance

Unity Catalog

Education

Bachelor's degree in Computer Science or Engineering

Tools

Databricks Unity Catalog

REST APIs

Job description

Samba TV# Data Engineer## Job DescriptionSamba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.We are seeking a skilled Data Engineer to strengthen our data platform team. Our team is tasked with building and maintaining the data platform that powers the entire organization; from ingestion to analytics and reporting; from valuable viewership and contextual datasets to scalable applications that enable data-driven decision making. While our organization is hybrid, you'll be building mostly on AWS, Databricks, BigQuery and Snowflake technology. The ideal candidate will have strong experience in cloud-based data engineering, distributed data processing, and data governance and metadata management to support analytics, reporting, and machine learning use cases.What You'll DoBuild scalable data product architecture, capable of supporting both internal and external data consumersResponsible for modernizing our data frameworks and integrations with Databricks and BigQueryUpgrade and reduce toil for developers on Apache AirflowDevelop and optimize data transformations using Apache Spark (PySpark/Scala)Build procedures and guidelines to help teams operate with dataIdentify bottlenecks in our development lifecycle and find solutions to improve themWork directly with our data teams and FinOps teams to drive efforts that span across teamsImplement data governance, access control, and auditing using Databricks Unity CatalogBuild and integrate automated, reusable data validation suites using data quality frameworks (Great Expectations or similar)Implement monitoring and anomaly detection systems for data quality, reliability and performanceDevelop and manage REST APIs to support secure data access, automation, and integrationCollaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assetsImplement monitoring, logging, and alerting for data workflowsOptimize cost and performance of cloud-based data infrastructureWho You AreBachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)2+ years of experience in data engineering or a related roleStrong hands-on experience with Databricks, Apache Spark and BigQuery or SnowflakeProven experience with Modern table formats such as Delta Lake and IcebergA deep understanding of the data lifecycle and how teams operate with dataHands-on experience implementing data governance and metadata management using Databricks Unity CatalogExperience managing and extending Apache Airflow (custom operators, plugins, infrastructure)Experience with KubernetesSolid experience with AWS cloud services, especially S3 and data-related servicesExperience with data validation and data quality principles and working with SLA systemsProficiency in Python and SQLExperience with data modeling, data lakes, and lakehouse architectures and a strong understanding of distributed systems and big data processingSamba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.For further details, please see Samba'sApplicant Privacy Policy.For residents of the EU, Samba Inc. is the data controller.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.Show moreShow lessChange LocationFind awesome listings near you!