Cologne, North Rhine-Westphalia, Germany · Hybrid
Location: Pune, Maharashtra Summary The Senior Data Engineer, plays a critical role in designing, building, and operating enterprise grade data products that power analytics, reporting, and AI across Hershey’s business d…
Skills: Azure, Databricks, Python, SQL, ETL/ELT
Cologne, North Rhine-Westphalia, Germany · On-site
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Remote OK
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Remote OK
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Remote OK
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Über SUNZINET Seit über 25 Jahren gestalten wir bei SUNZINET digitale Transformation für namhafte Marken. Als eine der führenden inhabergeführten Digitalagenturen in Deutschland arbeiten rund 160 Spezialisten gemeinsam d…
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
Job-Beschreibung Werde Teil unseres Teams bei AXA!Wir suchen eine engagierte Persönlichkeit, die unser Aushängeschild – das My AXA Kundenportal – gemeinsam mit uns weiterentwickelt. Über eine Million aktive Nutzer profit…
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Hanover, Lower Saxony, Germany · Hybrid
Du bist Dynamics 365 Consultant und wir haben die Themen, die dich weiterbringen. Wofür wir dich suchen Microsoft Dynamics 365 ohne KI zu denken, fühlt sich ein bisschen an wie Arbeiten ohne Internet, geht irgendwie noch…
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
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Cologne, North Rhine-Westphalia, Germany · Hybrid
$50k–$70k/yr
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Cologne, North Rhine-Westphalia, Germany · Hybrid
About Trusted Shops Trusted Shops is a leading provider of trust solutions for e-commerce. With around 700 employees across a dozen European countries, we ensure that consumers can shop online with confidence. Through ce…
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Design, build, and operate enterprise-grade data products and scalable pipelines using Azure and Databricks to power analytics and AI. Ensure data products are governed, performant, and reusable while collaborating with cross-functional teams to translate business needs into technical solutions.
Requires a Bachelor's or Master's degree in Data Science, Engineering, or a related field with 5-7 years of experience in data engineering. Proficiency in Python, SQL, and cloud platforms like Azure or AWS is essential.
Location: Pune, Maharashtra
Summary
The Senior Data Engineer, plays a critical role in designing, building, and operating enterprise grade data products that power analytics, reporting, and AI across Hershey’s business domains. This role ensures data pipelines, models, and foundational components are scalable, performant, governed, and reusable — enabling consistent access to trusted data at enterprise scale.
Senior Data Engineers work closely with Data Product Managers, Architects, Domain SMEs, and Platform Engineering to translate business requirements into robust technical solutions using modern data engineering patterns and cloud-native tooling. The role supports the end-to-end lifecycle of data products, from ingestion and modeling to certification, documentation, and sustainable operations.
This role is foundational to Hershey’s long-term data strategy. By contributing to reusable, governed, and durable data products, the Senior Data Engineer helps establish the enterprise system of record for analytics, enabling efficiency, consistency, and innovation across the company.
What We Are Building for Hershey
This role contributes directly to Hershey’s enterprise data strategy by engineering durable, reusable, and governed data products that become the system of record for analytics and future AI innovation. These data products are designed to scale across domains, reduce duplication, increase trust, and accelerate enterprise decision-making.
By applying engineering rigor, governance-by-design practices, and modern cloud-native architecture, the Senior Data Engineer helps transition Hershey from one-off data solutions to long‑lived, production-grade assets that fuel efficiency, growth, and innovation across the enterprise.
Major Duties & Responsibilities
1. Data Product Engineering & Delivery
Partner with business stakeholders to translate business requirements into technical designs and acceptance criteria.
Design, build, and maintain scalable and reusable data pipelines and transformations using Azure and Databricks.
Implement robust ingestion frameworks, standardized patterns, and repeatable workflows aligned to enterprise engineering practices.
Build and optimize physical and semantic data models supporting analytics, reporting, and AI/ML use cases.
2. Technical & Architectural Implementation
Apply best practices related to performance tuning, cost optimization, security, and reliability.
Ensure alignment with enterprise architecture, including shared infrastructure, canonical models, and platform standards.
Implement efficient data processing patterns (e.g., Delta Lake, medallion architecture, orchestration frameworks).
3. Governance, Quality, & Operations
Embed governance-by-design principles including lineage, metadata, documentation, and certification standards.
Implement data quality rules, monitoring, and automated checks to ensure accuracy, completeness, and trust.
4. Collaboration Across Domains
Work closely with business domain teams to validate that data products meet end-user needs and match business definitions.
Partner with Platform Engineering on pipeline frameworks, infrastructure patterns, and optimization.
Collaborate with Data Operations & Enablement to ensure strong documentation, certification, and governance coverage.
Minimum Knowledge, Skills, and Abilities
Data Engineering & Pipelines: Strong experience with ETL/ELT design, distributed processing, pipeline optimization, and enterprise scale data workflows.
Cloud & Platform Expertise: Hands-on experience with Databricks and cloud data platforms such as Azure (preferred) or AWS, including data lakes, orchestration, and scalable compute.
Programming & Development: Proficient in Python, SQL, modular coding, APIs, source control, and automation tools.
Data Modeling & Architecture: Skilled in dimensional and semantic modeling, database design, and building performant, governed analytics-ready structures.
Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks.
Collaboration & Communication: Able to translate business needs into technical solutions and clearly communicate technical concepts in cross-functional settings.
Experience and Education
Bachelor's/Master's in Data Science, Engineering, or a related field.
5 – 7 years of experience in data, analytics, or engineering roles
Proficiency in one or more general-purpose programming languages (e.g., Java, C/C++, C#, Python, JavaScript).
Working knowledge of SQL-based and NoSQL technologies (e.g., PostgreSQL, MySQL, MongoDB)
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The Hershey Company is an industry-leading snacks company with a purpose to make more moments of goodness and a vision to lead next generation snacking. Hershey brings together more than 20,000 employees worldwide to deliver delicious, high-quality products across more than 85 brands in approximately 65 countries, generating more than $11.7 billion in annual revenues. Hershey brings its full portfolio to market as ONE Hershey, spanning confection, salty and functional snacking categories with beloved brands like Hershey's, Reese's, Kisses, KIT KAT®, Jolly Rancher, Twizzlers and Ice Breakers; salty snacks including SkinnyPop, LesserEvil, Pirate's Booty and Dot's Homestyle Pretzels; and a protein portfolio including ONE Brands and Fulfil. For more than 130 years, Hershey has operated fairly, ethically and sustainably. Founder Milton Hershey established Milton Hershey School in 1909, and that legacy of purpose endures today through the company's commitment to helping children succeed through equitable access to education.
Offices: 19 E Chocolate Ave, Hershey, Pennsylvania 17033, US · Carretera Guadalajara, El Salto, Jalisco 00CP45680, MX · Pudong Road, Shanghai, 200120, CN · 5750 Explorer Dr, Mississauga, ON L4W 0B1, CA · 2701 Otis Corley Dr, Bentonville, AR 72712, US
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