Staff Data Engineer

SIXT

Staff Data Engineer at SIXT exploring AWS and big data technologies. Designing and operating core infrastructure for the SIXT Data Platform with a focus on reliability and scalability.

Posted 7/3/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudDistributed SystemsJenkinsKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

You explore, implement the latest AWS and big data technologies to uncover hidden opportunities, enable new capabilities, and build integrations for the SIXT Data Shop
You design, build, and operate the core infrastructure underpinning the Data Platform — including Kubernetes workloads, AWS services, and reusable Terraform modules — with a focus on reliability, scalability, and developer experience
You partner with Data Engineers, BI Analysts, and Data Scientists to architect optimal solutions for diverse analytical use cases, including dashboarding, ad hoc analytics, data-as-a-product, and machine learning
You contribute to the Data Platform vision and roadmap through your expertise and intellectual curiosity, setting technical direction and engineering standards that the wider team builds on
You demonstrate the highest standards of integrity and data protection when handling sensitive customer data

Requirements

What you’ll need

You hold a B.Tech, B.E., or Master's Degree in Computer Science or a similar discipline, with at least 9+ years as a data engineer and a proven track record at senior or staff level
You bring deep hands-on experience with Kubernetes, a broad range of AWS services, and building Terraform modules from scratch to enable infrastructure-as-code at scale
You have experience with hybrid Data Lake and Data Warehouse architectures, including end-to-end ELT automation from source systems to analytical dashboards, as well as cloud data warehouses such as Redshift or Snowflake, dbt, and Apache Airflow
You have hands-on experience with AI coding assistants and agentic workflow automation, including the ability to leverage LLMs with contextual data and a solid understanding of RAG (Retrieval-Augmented Generation) systems
You have strong foundation in agile methodologies, code reviews, source control (GitHub), CI/CD pipelines (Jenkins), testing, and operations, combined with a deep understanding of distributed systems and data storage and compute principles
You are expert in Python and advanced SQL

Benefits

Comp & perks

Grow Further, Go Further : Advance your skills and unlock your potential with our Education Assistance Program
Balance Your Career: Benefit from a hybrid work environment complemented by flexible working hours
Fuel Your Day : Great work deserves great fuel. Enjoy meal benefits that keep you energized and ready to bring your A-game
Your Wellness Matters : We're committed to your well-being through comprehensive insurance, wellness programs, health checkups, and fitness benefits
Recognition That Counts : We create a culture of appreciation, rewarding your impact through referral incentives and loyalty perks as you advance with us
Growing Families, Growing Joy : As your family grows, we're here to celebrate with a special newborn gift for your little one

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data EngineeringELT AutomationHybrid Data Lake ArchitectureData Warehouse ArchitectureMachine LearningAgile MethodologiesDistributed SystemsData Storage PrinciplesCI/CD PipelinesCode Reviews

Soft Skills

IntegrityIntellectual Curiosity

Certifications

B.TechB.E.Master's Degree in Computer Science