Technical Lead – Foundational Data at Merck Sharp & Dohme Corp. /Netherlands

, , Czechia -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, Azure Data Services, Databricks, ETL, Data Modeling, Python, Java, SQL, Git, Spark, PySpark, Airflow, DevOps, CI/CD, Data Governance

Industry

Pharmaceutical Manufacturing

Description

Job Description Role Overview: The Technical Lead for the Data Platform is responsible for overseeing the delivery of data platform solutions and technical standards. This role drives leading a team for successful implementation of scalable, secure, and high-performing data platforms, ensuring alignment with business objectives and technical excellence. Primary Responsibilities Design, develop, and maintain data pipelines to extract data from diverse sources and populate the data lake and data warehouse. Develop data transformation rules and data modeling capabilities to support business requirements. Collaborate with Product Analysts, Data Scientists, and Machine Learning Engineers to identify and transform data, making it understandable and actionable. Work with the data governance team to implement data quality checks and maintain data catalogs. Utilize orchestration, logging, and monitoring tools to build resilient, production-grade pipelines. Apply test-driven development methodology when building ELT/ETL pipelines. Analyze data to support business insights and reporting. Use Git for version control and understand various branching strategies. Participate as part of an agile team, contributing to sprint planning, reviews, and retrospectives. Create technical documentation as needed to support platform operations and onboarding. Technical Leadership Provide guidance on architecture, design, and implementation of cloud-based data platforms. Collaborate with data engineers, architects, and operations teams to ensure best practices are followed. Drive adoption of modern data technologies and frameworks. Translate business requirements into technical deliverables. Communicate progress, risks, and mitigation plans effectively to stakeholders. Experience in data modeling and data mapping. Governance & Compliance Ensure data security, privacy, and compliance with regulatory standards. Implement monitoring, logging, and performance optimization strategies. Team Leadership Mentor and guide technical teams, fostering a culture of collaboration, innovation, and continuous improvement. Required Skills & Qualifications Technical Expertise: Strong knowledge of data platforms (e.g., AWS, Azure Data Services, Databricks).Proficiency in data engineering concepts: ETL, data modeling, streaming, APIs.Familiarity with CI/CD and DevOps practices.Solid experience with AWS services (S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch).Experience with platforms like Databricks, Dataiku.Proficient in Python / Java and SQL (Redshift preferred).Experience with Jenkins, CloudFormation, Terraform, Git, Docker.Experience with Spark/PySpark.Experience using Airflow for orchestration.Ability to work in cross-functional teams. Soft Skills: Excellent communication and stakeholder management.Strong problem-solving and decision-making abilities. Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 8+ years in data engineering or platform roles, with at least 3 years in a leadership/delivery capacity. Preferred Qualifications Certifications in cloud platforms (AWS, Azure). Experience with data governance tools and frameworks. Exposure to AI/ML data pipelines. Location: Prague What we offer: Exciting work in a great team, global projects, international environment Opportunity to learn and grow professionally within the company globally Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) Pension and health insurance contributions Internal reward system plus referral program 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card Vodafone, Raiffeisen Bank, Foodora discount programs Up-to-date laptop and iPhone Parking in the garage, showers, refreshments, massage chairs, library, music corner Competitive salary, incentive pay, and many more Ready to take up the challenge? Apply now! Know anybody who might be interested? Refer this job! Required Skills: Amazon Web Services (AWS), AWS Glue, Cloud Software, Databricks Platform, Data Engineering, Data Leakage, PySpark, Python (Programming Language), Spark SQL, Structured Query Language (SQL), Technical Leadership Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Not Applicable Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 01/5/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

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Responsibilities

The Technical Lead is responsible for overseeing the delivery of data platform solutions and ensuring alignment with business objectives. This includes designing and maintaining data pipelines, collaborating with cross-functional teams, and implementing data governance practices.