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Procter & Gamble

Senior Data Engineer (Databricks)

Posted Yesterday
In-Office or Remote
Hiring Remotely in Goiás
Senior level
In-Office or Remote
Hiring Remotely in Goiás
Senior level
The Senior Data Engineer will design and optimize data pipelines from SAP to Databricks, focusing on CDC and stream processing. Responsibilities include managing Kafka components, CI/CD pipelines, and ensuring data quality while collaborating with various teams.
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Job Location

WARSAW PLANT & GO

Job Description

We are seeking a Senior Data Engineer (Databricks) to design, operate, and continuously improve our SAP data replication platform. The platform streams change data from SAP S/4HANA / ECC sources into downstream like Databricks. This is used across analytics, finance, supply chain, and operations. You will own end-to-end pipeline engineering roadmap.

Key Responsibilities

Pipeline Engineering

  • Design, build, and continuously improve pipelines from SAP to downstream

  • Develop and continuously improve on Kafka / Confluent topics, connectors, schemas (Avro / Schema Registry), and stream-processing jobs.

  • Build automation for deployment, validation, refresh, and reconciliation.

  • Tune capture and integrate jobs for throughput, lag, and resource efficiency.

Platform & DevOps

  • Deploy and manage Kafka and HVR components on AKS / Kubernetes and Azure infrastructure.

  • Maintain CI/CD pipelines (GitHub Actions / Azure DevOps) and IaC (Terraform / Bicep).

  • Enforce security, RBAC, secrets management (Key Vault), and network segmentation.

Collaboration & Governance

  • Partner with SAP Basis, Network, Security

  • Author runbooks, architecture diagrams, and knowledge-base articles.

  • Contribute to data-quality and contract-testing frameworks. Experience

  • 5+ years in data engineering or platform engineering, with 3+ years in streaming / CDC pipelines preferred

  • Hands-on production experience with CDC tool preferred (ex. HVR, Debezium)

  • Hands-on production experience with Apache Kafka or Confluent Platform (topics, partitions, consumer groups, Schema Registry).

Job Qualifications

Experience

  • 5+ years in data engineering or platform engineering, with 3+ years in streaming / CDC pipelines preferred

  • Hands-on production experience with CDC tool preferred (ex. HVR, Debezium)

  • Hands-on production experience with Apache Kafka or Confluent Platform (topics, partitions, consumer groups, Schema Registry).

Technical Skills

  • Strong SQL (HANA, Spark SQL, or T-SQL) and understanding of SAP table structures (ACDOCA, BSEG, MARA, etc.).

  • Proficiency in Python for automation, REST clients, and data tooling.

  • Linux administration and shell scripting (Bash / PowerShell).

  • Kubernetes / AKS workload deployment and troubleshooting.

  • Cloud experience: Azure preferred (Storage, Key Vault, Monitor, Event Hubs); AWS/GCP equivalent acceptable.

  • Observability stack: Grafana, Prometheus, log aggregation (ELK / Splunk / Log Analytics).

  • Git and CI/CD pipelines (GitHub Actions, Azure DevOps, or Jenkins).

  • Concepts

  • Log-based vs trigger-based CDC; exactly-once vs at-least-once semantics.

  • Schema evolution, backward/forward compatibility, contract testing.

  • Event-driven and lakehouse (medallion) architecture patterns.

Soft Skills

  • Strong written communication and documentation discipline.

  • Comfort with on-call and production-incident ownership.

  • Cross-functional collaboration in a regulated enterprise environment.

Preferred Qualifications (Nice-to-Have)

  • Direct experience with Fivetran HVR6 (REST API, Hub/Agent, channel design).

  • SAP S/4HANA / ECC functional knowledge (O2C, P2P, R2R) or basic ABAP / CDS view literacy.

  • Databricks / Delta Lake / Unity Catalog development experience.

  • Kafka Streams, ksqlDB, or Apache Flink.

  • Terraform / Bicep infrastructure-as-code.

  • Snowflake or other cloud data warehouse experience.

  • Data quality frameworks (Great Expectations or custom DQ engines).

  • Scala / Java for stream-processing internals.

  • Prior experience operating 24/7 mission-critical replication for finance or supply-chain systems.

We offer

  • P&G-sized projects and access to world leading IT partners and technologies from Day 1.

  • Wide range of self-development possibilities (training and certifications paths).

  • Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).

  • Regular salary increases and possible promotions - in line with your results and performance.

  • Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000151509

Job Segmentation

Experienced Professionals

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