Tableau Data Engineer Job at Inetum (Porto)

Data Engineer

Introlligent is a global technology solutions provider known for delivering cutt...

Location

Singapore , Singapore

Salary:

Not provided

Introlligent

Expiration Date

Until further notice

Requirements

Extensive experience in reporting, data visualisation, data mining, data integration and ad hoc analysis
Strong Snowflake & Tableau expertise is a must
Familiar with Supply Chain/Operations environment preferred
Excellent data analysis and presentation skills
Excellent attention-to-detail, ability to compile and validate large amounts of data while maintaining a very high degree of accuracy
Excellent communication and comprehension skills
Ability to operate in a fast paced, rapidly changing environment
Business Acumen and ability to rapidly understand complex business process
Excellent problem solving skills: ability to analyze and resolve complex problems in a structured and logical manner
Excellent/Advanced Excel skills

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

Data Engineer

Quantitative Data Intelligence team is responsible for providing data, insights,...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
3+ years of experience in data engineering, with a strong background in data architecture
Availability to work in the hybrid model or in person in the Lisbon or Porto office
Professional experience in any data visualization tool such as Tableau or Power BI
Professional experience in data analysis with programming, preferably Python (Pandas)
Proficiency in SQL
Fluency in written and spoken English
Ability to analyze, synthetize and simplify
Knowledge of descriptive statistics and hypothesis testing is a plus
Knowledge in Big Data technology such as Pyspark, Presto and Airflow is a plus

Job Responsibility

Leverage large volumes of data from internal sources
Develop, maintain, and support data pipelines
Understand and be the point of contact for the business and assess its needs
Ensure architecture meets business requirements
Recommend ways to efficiently provide quality data and added value
Communicate technical information to non-technical stakeholders, including data analysts, product managers, and business leaders
Prioritize and manage multiple projects simultaneously, meeting deadlines and delivering high-quality results

Fulltime

Lead Engineer (Tableau) - Vice President

Citi Finance, Market and Credit Risk Technology develops innovative technology s...

Location

United States , Tampa & New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

BS or MS degree in computer science, data science, finance, or mathematics
Minimum 8 years of experience using Tableau tools
Minimum 5 years of hands-on exposure in developing end-to-end solutions with Tableau for complex enterprise architecture
Solid hands-on experience with Tableau Desktop, Tableau Server, and Tableau Prep
Thorough knowledge of Tableau administration and architecture
Knowledge and hands-on experience with TabPy and Tableau Data Management, Lineage, Tableau API tools
Strong, proven programming skills in R, Python, Java, MATLAB, C++, or Scala
Experience in writing complex SQL, Stored Procedures, and SQL Query tuning
Hands-on experience in relational database management application development
Strong experience in data mart / data warehouse design

Job Responsibility

Architect, design, develop, and maintain business intelligence solutions using Tableau
Manage the lifecycle of Tableau analytics dashboards
Assist with prioritization of bugs, feature work, and architectural enhancements
Design Tableau APIs
Provide technical expertise in areas of architecture, design, and implementation
Troubleshoot and remediate issues related to data integrity, visualization accuracy, and dashboard performance
Integrate data from various sources into Tableau
Conduct data cleansing, blending, and aggregation
Monitor and enhance the performance of Tableau dashboards and data sources
Optimize data extracts

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages including vacation, sick leave, and paid holidays

Fulltime

Staff Data Engineer

We are seeking a Staff Data Engineer to architect and lead our entire data infra...

Location

United States , New York; San Francisco

Salary:

170000.00 - 210000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

7-10 years of experience in Data Engineering
Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads
Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)
Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns
Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components
Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent

Job Responsibility

Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases
Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business
Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools
Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth
Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)
Champion data quality, documentation, and observability to ensure high trust in data across the organization
Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines

What we offer

Employer-paid health insurance
401k match with immediate vesting
Generous and flexible time off with 2 company-wide closure weeks
Taskrabbit product stipends
Wellness + productivity + education stipends
IKEA discounts
Reproductive health support

Fulltime

Customer & Marketing Data Engineering Manager

This hybrid role blends marketing strategy, customer analytics, and hands-on eng...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Job Responsibility

Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes

Senior Data Engineer

Location

United States , Flowood

Salary:

Not provided

PhasorSoft Group

Expiration Date

Until further notice

Requirements

Experience with Snowflake or Azure Cloud Data Engineering, including setting up and managing data pipelines
Proficiency in designing and implementing ETL processes for data integration
Knowledge of data warehousing concepts and best practices
Strong SQL skills for querying and manipulating data in Snowflake or Azure databases
Experience with data modeling techniques and tools to design efficient data structures
Understanding of data governance principles and experience implementing them in cloud environments
Proficiency in Tableau or Power BI for creating visualizations and interactive dashboards
Ability to write scripts (e.g., Python, PowerShell) for automation and orchestration of data pipelines
Skills to monitor and optimize data pipelines for performance and cost efficiency
Knowledge of cloud data security practices and tools to ensure data protection

Job Responsibility

Design, implement, and maintain data pipelines and architectures on Snowflake or Azure Cloud platforms
Develop ETL processes to extract, transform, and load data from various sources into data warehouses
Optimize data storage, retrieval, and processing for performance and cost-efficiency in cloud environments
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Implement data security and governance best practices to ensure data integrity and compliance
Work with reporting tools such as Tableau or Power BI to create interactive dashboards and visualizations
Monitor and troubleshoot data pipelines, ensuring reliability and scalability
Automate data workflows and processes using cloud-native services and scripting languages
Provide technical expertise and support to data analysts, scientists, and business users

Fulltime

Data Engineer II

We’re looking for a Data Engineer II to join our Decisions & Insights team — the...

Location

United States , San Francisco

Salary:

101250.00 - 162000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Engineer, Analytics Engineer, or similar hybrid role
Advanced SQL skills with strong understanding of schema design and analytical database patterns
Strong Python experience for data manipulation, scripting, and automation
Strong analytical mindset, attention to detail, and a passion for turning complex datasets into clear insights
Solid Git experience for collaboration and version control
Experience integrating and analyzing data from AWS services (e.g., Redshift, S3, APIs)

Job Responsibility

Design, develop, and maintain automated ETL/ELT pipelines and analytical models in Redshift using SQL, dbt, or SQLMesh
Build clean, structured datasets that enable fast, self-serve insights for PMs, analysts, and operational agents
Create dashboards and analytical tools (e.g., Tableau) that make insights intuitive and actionable
Optimize SQL queries, schemas, and table designs for high-volume analytics workloads
Partner with product managers, data scientists, and engineering teams to deliver analysis that supports product and operational decisions
Use Python to automate processing, improve pipeline reliability, and support advanced analytical workflows
Apply best practices for Git-based version control, testing, documentation, and data quality monitoring
Participate in design reviews for new analytical features and data systems

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Tableau Data Engineer

Inetum

Location:
Portugal , Porto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
November 18, 2025

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Job Posted:November 18, 2025

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