Lead BI Engineer Job at Arrive (London)

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

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

Lead Power BI Developer

Lead consultant specializing in Power BI with a focus on data. Must have advance...

Location

Philippines

Salary:

Not provided

3Cloud

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer, engineering, data science or a related field
or equivalent work experience
Experience managing / leading a team
8+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (SSRS, Power BI, PowerPivot, PerformancePoint) or other vendor BI tools (Business Objects, MicroStrategy, Qlik, SAP)
Working knowledge of TSQL, data modeling, reporting using Power BI or other Microsoft tools
Experience creating complete Power BI report solutions with linked content, drilldowns, and nested parameters
Dynamic measure designs using advanced DAX techniques
Knowledge of data mashups and transformations using Power Query/M language
Utilize Databricks platform to develop, implement, and optimize data pipelines and workflows
Ability to report visual choices and visual interactions

Job Responsibility

Conduct customer discovery meetings to determine reporting requirements
Understand and work with customer on Power BI Licensing
Create well performing star schema data models for use with Power BI
Creating Power BI solutions for customers including importing data, building reports and dashboards
Guide customers on deploying Power BI solutions to the Power BI service (Gateways, DirectQuery, DataFlows, Data Updates)

Fulltime

Lead Analytics Engineer

As a Analytics Engineer in the Data Infrastructure Team at Prolific, you'll be a...

Location

United Kingdom

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models
Cloud Technology Knowledge: Strong familiarity with cloud platforms like AWS, GCP etc
Data Accuracy Focus: Passion for ensuring high data quality through tests/assertions and robust documentation
Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders
Mentorship Ability: Advocate for best practices in logging and data modeling that supports robust and effective analysis, reporting , and experimentation
Collaboration: Skilled at working cross-functionally and translating complex technical concepts into actionable insights for the business
Process-Driven: Proficiency in designing repeatable and scalable workflows for data transformation

Job Responsibility

Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimise transformations and implement robust testing strategies to ensure data integrity and model performance
Ownership: Monitoring and maintaining dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines.You will also be responsible for data models for BI analytics & company level reporting
Ensuring Data Accuracy: Writing tests and assertions to validate data integrity and consistency across models
Documenting and Standardizing: Creating and maintaining thorough documentation of dbt processes to ensure best practices within the BI team
Translating Complex Data Concepts: Acting as a key communicator, translating technical data issues into understandable business terms for stakeholders
Mentoring Team Members: Supporting junior analysts and data engineers, especially in setting up experimentation platforms and data best practices
Collaborating Across Teams: Working closely with the product, engineering, and BI teams to ensure data infrastructure supports evolving business needs

Lead, Process Engineering and Operations Transformation

This position is a senior individual contributor role responsible for leading bu...

Location

United States , Hybrid (partly onsite, partly remote in the US)

Salary:

115500.00 - 266000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Extensive knowledge of business process reengineering, value stream mapping, and operational diagnostics
Lean Six Sigma Black Belt or equivalent certification strongly preferred
Hands-on experience with process mining and automation platforms (e.g., Celonis, Signavio, Workfusion, Power Automate)
Strong stakeholder management, facilitation, and change leadership skills across regions and functions
Ability to influence without authority and communicate insights to both technical and executive audiences
Proficiency in using data visualization and analytics tools (e.g., Power BI, Tableau, Excel)
Experience navigating complex, matrixed environments and driving transformation across geographies
8+ years of experience in process improvement, business transformation, or operational excellence roles in global organizations or consulting
Proven success in delivering enterprise-scale process change initiatives with measurable value realization
Deep familiarity with AMS business practices and cultural dynamics

Job Responsibility

Lead regional discovery, mapping, and optimization of end-to-end business processes across the Americas, aligned with HPEFS’ global transformation strategy
Serve as the key transformation point-of-contact for AMS-based stakeholders, collaborating closely with global peers, functional leaders, and digital enablement teams
Apply Lean Six Sigma, process mining, and intelligent automation tools to identify high-impact opportunities and redesign workflows
Translate process insights into compelling business cases and secure alignment with cross-functional sponsors
Guide and mentor regional peers in continuous improvement methodologies, contributing to knowledge sharing and capability building
Influence transformation roadmaps and prioritization decisions by leveraging business acumen, data analysis, and deep process understanding
Support the advancement of a Process Re-engineering Center of Excellence, contributing to frameworks, playbooks, and global standards

What we offer

Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
Personal and professional development programs
Flexibility to manage work and personal needs
Unconditional inclusion

Fulltime

Senior Analytics Engineer

Join Qargo as a Senior Analytics Engineer and turn complex logistics data into c...

Location

Belgium , Ghent

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment
Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI)
Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus
Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance)
Strong analytical and problem-solving skills, with an eye for scalability and data quality
A background in Computer Science, Data Engineering, Statistics, or a related field
A proactive mindset with the ability to take ownership of complex problems and guide them to completion

Job Responsibility

Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines
Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights
Build and refine internal BI dashboards to support data-driven decision-making across departments
Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities
Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions
Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance
Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns
Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo

What we offer

Real impact and ownership in a growing international scale-up
A supportive and collaborative team culture
Hybrid working setup with flexibility and trust
Opportunities to learn, grow, and expand your technical knowledge
Competitive salary and benefits package

AI & Data Lead

We are seeking a highly skilled AI & Data Lead to spearhead our transformation i...

Location

United Kingdom , North West

Salary:

Not provided

Dynamic Search Solutions

Expiration Date

Until further notice

Requirements

Proven experience in a senior data/AI/analytics role (e.g., Data Lead, Analytics Lead, AI Specialist, BI Lead)
Strong background with Power BI, including DAX, modelling, governance, and enterprise deployments
Hands-on experience building AI and machine learning solutions using modern cloud tools (Azure preferred)
Strong understanding of data engineering concepts (ETL/ELT, pipelines, warehousing)
Ability to translate business challenges into technical AI/analytics solutions
Excellent stakeholder engagement and communication skills
Strategic thinker capable of setting direction and driving organisational change

Job Responsibility

Strategic Leadership & Planning Develop and own the company’s AI, analytics, and data strategy
Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem
Identify opportunities where AI, ML, and automation can drive measurable value
Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI
Translate complex data and AI concepts into clear business language and use cases
Facilitate workshops, run discovery sessions, and guide teams on AI best practices
Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows
Develop robust data models, pipelines, and integrations to ensure scalable AI adoption
Establish data governance standards, security controls, and compliance practices
Own data quality frameworks to ensure trusted reporting and model reliability

Engineering Leader

We’re seeking an experienced Engineering Leader to join a growing Data Strategy,...

Location

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

7+ years of experience in software or data engineering
2+ years in a technical leadership or team-lead capacity
Strong hands-on understanding of modern data platform technologies, including Snowflake, SQL, Python, and ETL frameworks (dbt, Airflow, or similar)
Experience in building or maintaining BI/analytics solutions (Power BI, Tableau, Looker, or similar)
Proven ability to manage multiple concurrent initiatives, balancing strategic oversight with tactical execution
Familiarity with data architecture, data pipelines, and data governance principles in an enterprise context
Excellent communication and stakeholder management skills
Demonstrated ability to lead through influence and foster a high-performing, collaborative team culture in a remote setting

Job Responsibility

Lead and mentor a small cross-functional engineering team (data engineers, analysts, BI developers) delivering multiple concurrent projects that serve enterprise data and analytics needs
Drive end-to-end project delivery — from problem definition and design through execution, testing, and delivery — ensuring high standards of quality, performance, and scalability
Engage in deep technical and design discussions, guiding solution approaches and removing blockers across data ingestion, transformation, and visualization layers
Oversee and contribute to projects such as: Building and optimizing data pipelines and ingestion frameworks (including integrations with Snowflake)
Developing and maintaining BI dashboards and analytics solutions for business and executive stakeholders
Sunsetting and modernizing legacy data lakes, ETL pipelines, and reporting systems
Supporting ad-hoc data engineering and analytics initiatives from senior leadership or the Data Science organization
Collaborate with senior managers and data strategy leaders to align team objectives with overall enterprise data goals
Establish and reinforce engineering best practices in code quality, CI/CD, data modeling, documentation, and operational excellence
Act as a bridge between technical contributors and business stakeholders — translating complex requirements into scalable, maintainable solutions

Lead BI Engineer

Arrive

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2026

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