Enterprise Data Engineer Job at Optiver (Amsterdam)

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...

Location

India , Chennai; Madurai; Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake)
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark)
Strong communication skills with the ability to present data insights to executives
8+ years in data architecture, enterprise data strategy, or modernization programs
Hands-on with AI-driven analytics and GenAI adoption

Job Responsibility

Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption

What we offer

Opportunity to design next-generation enterprise data & AI architectures
Exposure to cutting-edge GenAI platforms to accelerate innovation
Collaborate with experts across cloud, data engineering, and AI practices
Access to learning, certifications, and leadership mentoring
Competitive pay with opportunities for career growth and leadership visibility

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Enterprise Data Architect

The Enterprise Data Architect (EDA) is responsible for defining and advancing th...

Location

United States , San Mateo

Salary:

200000.00 - 275000.00 USD / Year

Verkada

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
10+ years of experience in data architecture, data engineering, or enterprise systems integration
Proven track record in designing enterprise-level data architectures in complex, multi-system environments
Expertise in data modeling, MDM, Meta Data, and data governance frameworks
Experience with cloud-based data platforms (AWS, Azure, GCP) and modern data stacks (e.g., Redshift, BigQuery, Snowflake)
Experience with integration platforms (ETL/ELT, APIs, event streaming, middleware)
Knowledge of data security (tokenization, encryption, access controls) and compliance frameworks
Strong ability to influence cross-functional stakeholders and drive consensus across departments
Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences
Strategic thinker with the ability to balance long-term architecture vision with short-term delivery needs

Job Responsibility

Define and own the enterprise data strategy in alignment with corporate goals
Design and maintain comprehensive data architecture spanning ERP, HRIS, CRM, ATS, Finance, and other core business systems
Ensure the architecture supports scalability, performance, and resilience as the company grows
Lead initiatives to break down data silos and establish trusted, unified sources of truth across the organization
Champion a company-wide data governance framework
Facilitate Regular Meetings
Drive Cross-Functional Collaboration
Identify & Track Data Gaps
Coordinate Remediation Efforts
Implement Monitoring & Alerts

Fulltime

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

Sap Btp Data Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

2+ years of experience designing and developing SAP data solutions within SAP and non-SAP enterprise landscapes
Strong knowledge of data modeling in Data Warehouses
Strong knowledge of the visualization patterns, approaches, and techniques in SAP and non-SAP landscapes
Understanding of Data Engineering solutions within the SAP BDC landscape, such as SAP Databricks
Proven experience in data transformation and integration with SAP ERP, S/4HANA, and equivalent external systems
Good understanding of SAP data integration techniques (SDI, SDA, APIs, ODP) and protocols (OData, REST, JDBC)
Bachelor’s degree in Computer Science, Information Systems, or equivalent
English B2+

Job Responsibility

Design, develop, and deploy enterprise data solutions on SAP BTP, integrating SAP and non-SAP systems
Analyze and resolve complex data and integration challenges, ensuring reliable and scalable solutions
Collaborate with data architects, functional analysts, and business stakeholders to translate requirements into data models, dashboards, and analytics
Lead small project teams (2–3 members) and contribute to cross-regional collaboration for consistent delivery
Facilitate client enablement through workshops, webinars, and hands-on sessions
Continuously grow expertise by staying current with SAP data and analytics technologies (e.g., SAP Business Data Cloud, AI/ML) and pursuing relevant certifications

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Senior Data Engineer

Our client is a global jewelry manufacturer undergoing a major transformation, m...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
Practical experience with Azure Data Factory, Databricks, and PySpark
Track record of designing, building, and delivering production-ready data products at enterprise scale
Strong analytical skills and ability to translate business requirements into technical solutions
Excellent communication skills in English, with the ability to adapt technical details for different audiences
Experience working in Agile/Scrum teams

Job Responsibility

Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Data Governance Engineer

The role focuses on deploying and managing enterprise-scale Data Governance prac...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

7+ years of Data Governance and Data Engineering experience, with significant exposure to enabling Data availability, data discovery, quality & reliability, with appropriate security & access controls in enterprise-scale ecosystem
First level university degree
Experience working with Data governance & metadata management tools (Collibra, Databricks Unity Catalog, Atlan, etc.)
Subject matter expertise of consent management concepts and tools
Demonstrated knowledge of research methodology and the ability to manage complex data requests
Excellent analytical thinking, technical analysis, and data manipulation skills
Proven track record of development of SQL SSIS packages with ETL flow
Experience with AI application deployment governance a plus
Technologies such as MS SQL Server, Databricks, Hadoop, SAP S4/HANA
Experience with SQL databases and building SSIS packages

Job Responsibility

Drive the design and development of Data Dictionary, Lineage, Data Quality, Security & Access Control for Business-relevant data subjects & reports across business domains
Engage with the business users community to enable ease of Data Discovery and build trust in the data through Data Quality & Reliability monitoring with key metrics & SLAs defined
Supports the development and sustaining of Data subjects in the Database layer to enable BI dashboards and AI solutions
Drives the engagement and alignment with the HPE IT/CDO team on Governance initiatives, including partnering with functional teams across the business
Test, validate and assure the quality of complex AI-powered product features
Partner with a highly motivated and talented set of colleagues
Be a motivated, self-starter who can operate with minimal handholding
Collaborate across teams and time zones, demonstrating flexibility and accountability.

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Comprehensive inclusion and flexibility to manage work and personal needs.

Fulltime

Enterprise Data Engineer

Optiver

Location:
Netherlands , Amsterdam

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 17, 2026

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