Data and BI Engineer Jobs

Manager, Business Analysis & Agile Delivery – Global Data Engineering & BI

We're looking for an experienced people leader with strong Agile delivery expert...

Location

United States of America , Charlotte

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

8+ years in business analysis, Agile delivery, and/or data-focused project management
3+ years of direct people management
Proven success leading Agile teams (Scrum or Kanban) and scaling Agile practices across multiple initiatives
Solid understanding of data engineering, BI, and analytics ecosystems
Experience mentoring and developing talent, with a passion for building team capabilities
Strong communication skills with the ability to influence and align stakeholders at all levels
Expertise in Jira, Confluence, Azure DevOps, or similar project management tools
Ability to manage multiple priorities in a fast-paced, matrixed environment
Bachelor's degree in Information Systems, Data Analytics, or related field

Job Responsibility

Lead, inspire, and grow a team of Business Analysts and Scrum Masters
Provide coaching and performance management, helping team members develop career paths and strengthen their skills
Oversee requirements gathering, documentation, and translation of business needs into technical solutions across multiple data and BI initiatives
Drive adoption of Agile best practices and ensure consistent delivery approaches across teams
Act as an escalation point for project issues, scope alignment, and cross-functional dependencies
Collaborate with engineering, product, and business stakeholders to deliver high-quality solutions on time
Standardize and continuously improve BA and Scrum Master processes, templates, and tool usage
Balance team capacity and prioritize work to focus on the highest-value initiatives
Support talent acquisition, onboarding, and career development within the BA and Scrum Master community

Fulltime

New

Data Engineer

ABOUT THE JOB: Develop and maintain Modern Data Warehouse and Lakehouse solution...

Location

Vietnam , Hcm City

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Bachelor’s degree in data engineering, computer science or related fields
4+ years of experience in data engineering
Expertise in Modern Data Warehouse and Lakehouse solutions, data quality, and metadata management
Strong experience with Azure Synapse Analytics, Data Factory, Databricks, and Stream Analytics
Proficiency in ETL/ELT processes and SQL/TSQL
Experience in data modelling and pipeline orchestration with Azure tools
Familiarity with Power BI Cloud and Tableau
Good communication skills in English and Vietnamese
Strong communication skills and the ability to work collaboratively in a multicultural environment

Job Responsibility

Develop and maintain Modern Data Warehouse and Lakehouse solutions
Use Kafka to stream raw data into data lake
Develop and maintain data flows within Azure
Perform data quality and metadata management
Create data visualizations using Power BI and Tableau
Collaborate directly with technical customers to design cloud-based technical architecture and approaches
Support and troubleshoot data pipelines

What we offer

Competitive salary and 13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trips
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
International team with flexible working time
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries

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

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Snr. Data Engineer and Modeler

Design and implement data pipelines. Develop and maintain data models and archit...

Location

Japan , Tokyo

Salary:

7000000.00 - 13000000.00 JPY / Year

Randstad

Expiration Date

March 23, 2026

Requirements

5+ years of experience in data engineering/modelling roles
Hands-on experience with BI tools (eg. Tableau, PowerBI) and data storage products like databricks, synapse, or snowflake
Strong in sql and python (5+ hands-on experience)

Job Responsibility

Design and implement data pipelines
Develop and maintain data models and architecture
Ensure data quality

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日
賞与

Fulltime

Power BI Senior Software Engineer

Senior Software Engineer role requiring a strong blend of technical skills, busi...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Highly skilled Data Analyst / BI Developer with proven expertise in Power BI, SQL, Snowflake, and data modeling
Strong knowledge of Power BI, including DAX, Power Query (M), and building enterprise-grade dashboards
Solid understanding of data modeling techniques (3NF, Star Schema, Snowflake Schema, Data Vault 2.0)
Write efficient SQL queries to handle large volumes of data
Experience of Data connectivity with Multiple Sources - Oracle BI, SQL, API's, Dataflows, Data lakes, Data Warehouse
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Bachelor's degree in Computer Science, Information Systems, Data Science, or related field preferred
Total Experience Expected: 02-04 years

Job Responsibility

Collaborate with business stakeholders to understand reporting needs, ensuring alignment on report design, usability, and functionality
Design, develop, and deliver high-quality BI solutions
Apply UI/UX design principles to ensure Power BI dashboards are intuitive, user-centric, and tailored to specific target groups
Implement performance tuning and optimization techniques to enhance Power BI report efficiency
Prepare detailed documentation, including data dictionaries, process workflows, and user guides
Implement Power BI service administration, including RLS & OLS, workspace management, data security policies and deployment pipelines

What we offer

Commitment to fighting against all forms of discrimination
Inclusive and respectful work environment
All positions open to people with disabilities

Fulltime