bi technical lead

The Home Depot

<div>
 24212
 
 
 We&rsquo;re looking for a
 
 Business Intelligence &amp; Software Development Intern
 
 who&rsquo;s curious, motivated, and excited to get hands-on experience with enterprise-level projects&mdash;not just busy work.
 
 
 You&rsquo;ll work side-by-side with our
 
 BI, Data Engineering, Automation, and Software Development teams
 
 , helping tackle meaningful tasks that keep our projects moving and our systems running smoothly. In return, you&rsquo;ll gain real skills, real mentorship, and real experience you can actually talk about in future interviews.
 
 
 
 What You&rsquo;ll Do
 
 
 
 You&rsquo;ll support our technical teams in a variety of ways&mdash;perfect if you like learning a little bit of everything:
 
 
 
 Data &amp; Business Intelligence
 
 
 
 <ul>
 <li>
 Help prepare, validate, and quality-check data
 </li>
 <li>
 Support dashboard development and testing
 </li>
 <li>
 Document data sources, transformations, and metrics
 </li>
 <li>
 Monitor data pipelines and flag anything that looks &ldquo;off&rdquo;
 </li>
 <li>
 Assist in maintaining datasets and reporting tools
 
 
 </li>
 </ul>
 
 Automation &amp; Process Improvement
 
 
 
 <ul>
 <li>
 Support workflow automation tasks and testing
 </li>
 <li>
 Document business processes with an eye for automation opportunities
 </li>
 <li>
 Help with operational tasks that are prime candidates for automation
 </li>
 <li>
 Validate outputs from automated systems
 
 
 </li>
 </ul>
 
 Software &amp; Application Support
 
 
 
 <ul>
 <li>
 Test applications and track bugs
 </li>
 <li>
 Assist with configurations, documentation, and small enhancements
 </li>
 <li>
 Support User Acceptance Testing (UAT)
 </li>
 <li>
 Help manage development artifacts and release notes
 
 
 </li>
 </ul>
 
 Project &amp; Operational Support
 
 
 
 <ul>
 <li>
 Knock out backlog tasks that require accuracy and focus
 </li>
 <li>
 Prepare reports and status updates
 </li>
 <li>
 Assist with requirements gathering and documentation
 </li>
 <li>
 Support cross-team coordination efforts
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Currently pursuing or recently completed a degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Basic understanding of databases and data concepts
 </li>
 <li>
 Ability to learn new tools quickly
 </li>
 <li>
 Strong attention to detail and organization
 
 
 </li>
 </ul>
 
 Nice-to-Have (But Not a Dealbreaker!)
 
 
 
 <ul>
 <li>
 Experience with SQL
 </li>
 <li>
 Familiarity with BI tools (Tableau, Power BI, Domo, etc.)
 </li>
 <li>
 Basic programming knowledge (Python, JavaScript, or similar)
 </li>
 <li>
 Exposure to automation tools or scripting
 </li>
 <li>
 Version control experience (Git)
 </li>
 <li>
 Interest in AI, analytics, or software development
 
 
 </li>
 </ul>
 
 Temco Logistics is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
 
 
 
 Apply End Date: 2026-07-31
</div>

BI Intern - Carson, CA

MidAmerican Energy

The Analytics &amp; BI Lead provides advanced technical expertise and guidance in the architecture, design, programming, testing, documentation and implementation of business intelligence systems. Responsible for the complex and efficient ETL maps, highly intuitive data models, reports and dash boards, migrations into different environments, maintenance and monitoring of the Oracle Business intelligence reporting. Evaluates software packages, provides recommendations to management and business clients, and identifies best technology solutions. Identifies future needs for key technologies and techniques and develops plans for adoption. This is considered a leadership position within the application development organization.
 Act as the technical lead for highly complex projects related to the development of new business analytical solutions, testing and implementing business intelligence reporting systems, data mapping components, source system data, ETL strategy, data staging, moving and aggregation, information and analytics delivery, and data quality strategy. (30%)
Provide technical leadership to staff; may direct work of Oracle Business Intelligence developers and various analysts in the completion of assigned projects. Plan, schedule and assign work based on established priorities. (15%)
Oversee software development and ensure conformance to performance optimization and interoperability standards and requirements. Ensure adherence to secure development lifecycle practices and policies. (10%)
Perform project planning, system analysis, software design and coding, testing, documentation, implementation and research activities as necessary for software engineering projects. (20%)
Act as the subject matter expert, and consult with clients on MEC's IT strategy and business requirements. (5%)
Collaborate with IT teams from applications and infrastructure to identify technology deficiencies and improvement opportunities in practices and procedures. (5-10%)
Coach and mentor other team members in technical matters, software development practices, project management techniques and security implementations. (5%)
Perform any additional responsibilities as requested or assigned. (5%)
 Bachelor's degree in management information systems (MIS), computer science, or related technical field, or equivalent work experience. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)
A minimum of six years of experience in business intelligence software application design, development, integration and/or installation.
Advanced knowledge of programming, integration and application security models, and proficiency with a variety of software development tools.
Experience in the industry, or in an environment whose scope, size and complexity are comparable.
Expert knowledge of Oracle's data relationship management and Oracle Essbase technologies, Oracle Business intelligence server enterprise edition, Oracle business intelligence Application interfaces, and Oracle Business intelligence foundation suite of tools.
Expert knowledge of data modeling and code design impacts for data loading and reporting performance.
Expert knowledge and strong programming in SQL, PL/SQL, stored procedures and packages, Oracle and Microsoft database, and business intelligence technologies.
Effective project management skills and ability to prioritize and handle multiple tasks and projects concurrently.
Business analysis aptitude including communications and interpersonal skills enabling an understanding of client's needs.
Knowledge of information technology terms, equipment, systems, functions and major vendors.
Experience integrating large disconnected enterprise-class systems in a robust, fault-tolerant manner consistent with industry standards.
Able to work in a zero-code-ownership environment where the team members can modify any source file at any time.
An expert understanding of deployment topologies (i.e. ensuring secure, highly available systems).
Effective oral and written communication skills. Effective analytical, problem-solving and decision-making skills. Availability for periodic on-call responsibilities.
Preferences Experience integrating Commercial off the Shelf (COTS) solutions within an environment with strong change and release management processes and procedures.
Technical knowledge of Oracle OBIEE 11g and Oracle Warehouse builder technologies, stored procedures and packages.
Technical knowledge with hands-on experience in Oracle database development, ETL, SQL, and PL/SQL.
Technical knowledge with hands-on experience in Oracle business intelligence foundation suite of tools, Oracle publisher, Essbase, Informatica, Data relationship management, ODI, Financial data management, Hyperion financial management.
Understanding of company's existing IT environment and of applicable company policies, practices, and procedures.
 <div>MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.</div>
 MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

Analytics & BI Lead

ECAM

<div>Business Intelligence Manager &ndash; Lead Data Strategy for a High-Growth Video Monitoring Division 
 
We are seeking a Business Intelligence Manager to lead analytics delivery and stakeholder partnership for our ECAM video monitoring business, one of GardaWorld&rsquo;s most critical and fast-growing divisions. 
 
This role is first and foremost a people and business leadership position. You will lead a team of BI analysts, act as a trusted advisor to ECAM operations and leadership, and ensure our data products are clearly understood, well-adopted, and driving measurable business performance. 
 
While you will operate within a modern enterprise data platform (Snowflake, Power BI, Fivetran, Azure, dbt, Git), your primary responsibility is not to be the most technical person in the room&mdash;it is to set direction, build trust, translate business needs into analytics strategy, and represent BI as a confident, value-adding partner to the ECAM business. 
 
What&rsquo;s in it for You:<ul><li>
Competitive Pay: $130,000 - $140,000.00 per year, plus bonus</li><li>
Work Site Location: Dallas, TX</li><li>
Comprehensive Benefits: Medical, dental, and vision insurance plans, 401(k) with employer matching contributions, paid time off (PTO) policy, paid holidays, disability coverage, and life insurance options.</li><li>
Career Growth: Career growth opportunities at ECAM</li><li>
Travel: 0-25% or as business requires</li></ul> 

Your Responsibilities<ul><li>
Leadership &amp; Team Management<ul><li>
Lead, coach, and develop a team of BI analysts, setting clear expectations around delivery quality, responsiveness, and stakeholder engagement.</li><li>
Create a culture of ownership, accountability, and continuous improvement within the ECAM BI team.</li><li>
Ensure analysts are focused on the highest-value business priorities, not just ad-hoc requests.</li><li>
Provide mentorship on communication, storytelling, and executive-ready analytics&mdash;not just technical skills.</li></ul></li><li>
Stakeholder Partnership &amp; Business Enablement<ul><li>
Serve as the primary BI point of contact for ECAM operations, customer service, and leadership.</li><li>
Build strong, trusted relationships with stakeholders&mdash;ensuring they feel heard, supported, and confident in BI outputs.</li><li>
Proactively identify opportunities where data can improve operational performance, customer experience, and strategic decision-making.</li><li>
Translate ambiguous business questions into clear analytics roadmaps and actionable insights.</li><li>
Confidently present insights, recommendations, and tradeoffs to senior leaders.</li></ul></li><li>
Analytics Strategy &amp; Delivery Oversight<ul><li>
Own the ECAM analytics roadmap, balancing short-term needs with long-term platform and reporting strategy.</li><li>
Oversee the development and evolution of Power BI dashboards, KPIs, and datasets&mdash;ensuring they are intuitive, trusted, and aligned to business outcomes.</li><li>
Partner with Data Engineering on data modeling, ingestion, and transformation priorities in Snowflake.</li><li>
Support and advocate for the ongoing migration from SQL Server&ndash;based reporting to Snowflake-centric analytics.</li></ul></li><li>
Platform, Governance &amp; Standards<ul><li>
Ensure ECAM analytics align with enterprise BI standards for data definitions, documentation, and visualization best practices.</li><li>
Support SOC 2&ndash;aligned governance, including role-based access, data security, and auditability.</li><li>
Monitor report usage, adoption, and stakeholder satisfaction&mdash;adjusting strategy as needed to maximize impact.</li><li>
Act as a bridge between enterprise data platform initiatives and ECAM-specific needs.</li></ul></li></ul> 

Your Qualification<ul><li>
Required<ul><li>
5+ years in Business Intelligence, Analytics, or Data roles, with at least 2+ years in a leadership or lead-analyst capacity.</li><li>
Proven experience partnering directly with business stakeholders, not just delivering reports.</li><li>
Strong ability to communicate, influence, and build trust with both technical and non-technical audiences.</li><li>
Solid understanding of modern BI and data platforms (e.g., Snowflake, SQL, Power BI), even if not hands-on daily.</li><li>
Demonstrated ability to prioritize work, manage expectations, and drive outcomes in a fast-moving environment.</li></ul></li><li>
Preferred<ul><li>
Experience supporting operations-heavy, service-oriented, or high-velocity businesses (security, logistics, monitoring, call centers, etc.).</li><li>
Familiarity with ELT/ETL tooling such as Fivetran, Azure Data Factory, and/or dbt.</li><li>
Experience operating within governed, compliant environments (SOC 2, role-based access, data security).</li><li>
Bachelor&rsquo;s degree in Analytics, Business, Economics, Computer Science, or related field.</li></ul></li></ul> 

ECAM: Safeguarding Sites with Innovation 
ECAM, a GardaWorld company, is a leader in security technology and remote surveillance. With a mission to deliver smarter, more efficient security solutions, ECAM protects construction sites, commercial properties, and critical infrastructure with cutting-edge mobile surveillance units, AI-driven monitoring, and professional guard services. Their integrated approach helps clients reduce risk, prevent loss, and maintain peace of mind&mdash;24/7. 
 
It is the policy of ECAM to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, veteran status, or disability in accordance with applicable federal laws. In addition, ECAM complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment including, but not limited to hiring, placement, assignment, promotion, termination, layoffs, recalls, transfers, leaves of absence, compensation, and training. It is also the policy of ECAM not to honor requests that employees be assigned on the basis of sex or any other classification protected by law, unless such request is based on a bona fide occupational qualification for that assignment.</div>

Business Intelligence Manager

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description (JD)</h1><h3 class="jobSectionHeader">
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</h3>
Location: Onsite - Riyadh 
Must Have: Experience over CVM implementation for Telco 
Experience: 8&ndash;12+ Years 
Industry Preference: Telecommunications<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly experienced Data Architect / Tech Lead to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Lead end-to-end data architecture design for enterprise data platforms and analytics solutions</li><li>
Design and implement scalable data warehouses, data lakes, and ETL pipelines</li><li>
Drive data modeling (logical &amp; physical) and semantic layer design</li><li>
Oversee data integration across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as system migrations, platform modernization, and architecture revamps</li><li>
Ensure data quality, governance, and compliance across data assets</li><li>
Build and optimize high-performance data pipelines and reporting systems</li><li>
Enable self-service BI and analytics using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into technical solutions</li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive automation in reporting and data operations</li><li>
Manage performance tuning and optimization of databases and queries</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Experience</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
Strong expertise in:<ul><li>
Teradata, Informatica, Apache Spark, Cloudera (Big Data ecosystem)</li><li>
ETL/ELT design and development</li><li>
SQL, Python, Shell Scripting</li></ul></li><li>
Hands-on experience with:<ul><li>
Data modeling tools (Erwin or equivalent)</li><li>
Data warehouse architecture</li><li>
Semantic layer design</li></ul></li><li>
Database experience:<ul><li>
Teradata, Oracle, MySQL, PostgreSQL</li></ul></li><li>
BI &amp; Reporting:<ul><li>
Tableau, MicroStrategy, QlikView</li></ul></li><li>
Familiarity with:<ul><li>
GitHub, C#, DataOps frameworks</li></ul></li></ul><h3 class="jobSectionHeader">
Functional Skills</h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><h2 class="jobSectionHeader">
Leadership &amp; Soft Skills</h2><ul><li>
Proven experience leading large-scale data programs</li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage cross-functional and distributed teams</li><li>
Experience in project delivery and technical governance</li></ul><h2 class="jobSectionHeader">
Education</h2><ul><li>
Bachelor&rsquo;s degree in Information Technology / Computer Science / Engineering or related field</li></ul><h2 class="jobSectionHeader">
Preferred Experience</h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in large transformation programs (e.g., system revamps, migrations)</li><li>
Exposure to product ownership or project management roles</li></ul>
o79llUR4WA</div>

Tech Lead – Data Engineering & Analytics

Openkyber

<div>DataOps Engineer / Azure Data Engineer (Public Health Data Modernization) Location: Remote Position Type: Contract (15 months with multi-year extension options)
Prior experience health care data modernization projects for state projects is highly desired
Job Summary:
We are seeking a highly skilled DataOps Engineer to lead the operationalization of a large-scale public health data infrastructure modernization initiative. This role is critical in establishing a sustainable, staff-owned DataOps foundation to improve the quality, reliability, and usability of state-wide health data. You will work at the intersection of data engineering, quality assurance, and governance, utilizing a modern cloud stack centered on Azure DevOps, Azure Databricks, and AWS Data Lake architectures.
The ideal candidate is not just a technical expert but also a mentor who can perform hands-on co-development with internal teams to build durable organizational capacity.
Key Responsibilities:
<ul><li>Data Quality &amp; Statistical Process Control (SPC): Develop and implement governed, version-controlled downstream Data Quality (DQ) rules and validation frameworks. Establish SPC monitoring for data volumes, timeliness, and distributions, including AI-assisted anomaly detection.</li>
<li>Infrastructure &amp; Pipeline Support: Translate downstream requirements into actionable specifications for upstream ingestion teams. Maintain operational performance metrics and observability dashboards.</li>
<li>Data Governance &amp; Metadata: Build and maintain data glossaries, catalogs, and end-to-end lineage visualizations within established governance tools. Define data contract requirements for external vendors, including schema expectations and QA thresholds.</li>
<li>Analytics &amp; BI Enablement: Develop governed Power BI semantic models (Cost, Quality, Access) and standardized dashboards with integrated DQ/SPC overlays.</li>
<li>Organizational Enablement: Lead role-based training through active co-building sessions. Document all processes, runbooks, and SOPs as living Wikis within Azure DevOps to ensure long-term sustainability.</li>
</ul>Required Technical Stack:
<ul><li>Platform: Azure DevOps (Boards, Repos, Pipelines, Wikis).</li>
<li>Data Engineering: Azure Databricks and AWS Data Lake (Medallion Architecture).</li>
<li>Visualization: Power BI (DAX, RLS, semantic modeling).</li>
<li>Automation: Power Automate and SharePoint integration.</li>
<li>Architecture: Experience with native AWS services and complex data ingestion pipelines.</li>
</ul>Preferred Qualifications:
<ul><li>Certifications: Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.</li>
<li>Domain Expertise: Prior experience with healthcare data infrastructure (e.g., APCD, Medicaid, or clinical datasets).</li>
<li>Management: DAMA CDMP, Lean Six Sigma, or Prosci Change Practitioner certifications.</li>
<li>Agile: SAFe Practitioner or Scrum Master (CSM/PSM).</li>
</ul>DataOps Engineer, Azure Data Engineer, Databricks, Azure DevOps Pipelines, Power BI Developer, Healthcare Data Analytics, AWS Data Lake, Medallion Architecture, Data Governance, Statistical Process Control, Metadata Management, Data Quality Engineering, AI Anomaly Detection, Semantic Modeling, DAX, SQL, Python, Public Health IT, Data Lineage, CDMP.
For applications and inquiries, contact: hirings@openkyber.com</div>

Azure Network Engineer

Lakeview Loan Servicing

<div>Overview:
<div>
The Lead Data Engineer on the Nebula team plays a significant technical leadership role in shaping and scaling the data foundation that powers analytics, reporting, AI development, and operational decision-making across the organization. This role combines hands-on data engineering execution with practical team leadership, helping the organization build reliable, flexible, and production-ready data systems.</div><div></div><div> 
The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply hands-on in the design, development, and operation of core data systems. The role balances direct technical contribution with mentoring, coaching, coordination, and day-to-day support for the engineers on the squad.</div><div></div><div> 
Working across ingestion, transformation, storage, modeling, orchestration, and delivery, this role partners closely with Product, Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs) to translate complex business processes into scalable data platforms, pipelines, and trusted datasets.</div><div></div><div> 
This role owns the technical direction for core data capabilities, including ETL/ELT, batch and real-time processing, OLTP and OLAP systems, BI-ready data models, and cloud-based data infrastructure in a regulated, high-stakes environment. Success requires strong architectural judgment, operational discipline, and the ability to raise the technical bar for both systems and people.</div><div></div><div> 
This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.</div>
Responsibilities:
<div>
Strategic Technical Leadership</div><ul><li>
Own the architecture and evolution of core data systems, including ingestion, transformation, orchestration, storage, modeling, and delivery layers</li><li>
Set technical direction for ETL/ELT, batch processing, real-time pipelines, OLTP and OLAP systems, and BI-ready data assets</li><li>
Make pragmatic architecture decisions that balance scalability, reliability, security, performance, cost, and delivery speed</li><li>
Establish engineering standards, reusable patterns, and design principles that improve quality and leverage across the data platform</li></ul>
Hands-On Data Engineering Delivery<ul><li>
Lead the design, build, rollout, and operations of greenfield data infrastructure</li><li>
Build and maintain complex data pipelines across diverse source and destination systems, including databases, APIs, files, SaaS platforms, event streams, and internal applications</li><li>
Design and optimize data models, warehouse schemas, semantic layers, and curated datasets for analytics, reporting, AI, and product use cases</li><li>
Contribute directly to critical implementation work, including writing code, code and design reviews, migrations, reliability improvements, and production issue resolution</li></ul>
Squad Leadership &amp; Management<ul><li>
Lead a lean, high-caliber squad of data engineers, spending focused time mentoring, coaching, managing, and coordinating the team</li><li>
Develop engineers through regular feedback, technical guidance, code reviews, career support, and clear expectations around quality and ownership</li><li>
Help prioritize team work, clarify scope, remove blockers, and ensure the squad delivers reliably against business and technical goals</li><li>
Contribute to hiring, onboarding, performance development, and team operating rhythms as the data engineering function grows</li></ul>
Cloud Platform &amp; Production Operations<ul><li>
Deploy, operate, and improve data pipelines, data stores, and supporting infrastructure on major cloud platforms such as AWS, GCP, or Azure</li><li>
Drive strong practices for CI/CD, infrastructure-as-code, automated testing, monitoring, alerting, and incident response</li><li>
Ensure data systems are observable, fault-tolerant, recoverable, and maintainable in production</li><li>
Identify opportunities to reduce operational toil, improve platform reliability, and manage cloud infrastructure costs effectively</li></ul>
Data Quality, Governance &amp; Trust<ul><li>
Define and enforce standards for data quality, validation, reconciliation, lineage, schema evolution, metadata, and documentation</li><li>
Establish patterns for data contracts, ownership, SLAs, and runbooks that help downstream teams trust and use data confidently</li><li>
Partner with security, compliance, and business stakeholders to support privacy, auditability, access controls, and regulated data handling</li><li>
Raise the maturity of data governance and reliability practices without slowing down pragmatic delivery</li></ul>
Cross-Functional Partnership<ul><li>
Partner closely with Product, Engineering, AI, Analytics, and business stakeholders to align data architecture with organizational priorities</li><li>
Translate ambiguous business needs and operational workflows into clear technical plans, milestones, and production-ready solutions</li><li>
Serve as a senior technical point of contact for data-heavy initiatives, communicating tradeoffs, risks, sequencing, and timelines clearly</li><li>
Enable downstream consumers, including analysts, product teams, data scientists, and operational users, through reliable and well-modeled data assets</li></ul>
Culture &amp; Craft<ul><li>
Contribute to a culture of ownership, curiosity, operational rigor, pragmatism, and engineering excellence</li><li>
Raise the bar for the team through thoughtful design, clear abstractions, strong reviews, and sound technical judgment</li><li>
Balance staff-level technical depth with practical people leadership, helping the team grow while continuing to ship high-quality systems</li></ul>
Qualifications:
<ul><li>5-8+ years of experience building and operating production-grade data pipelines, platforms, and distributed data systems</li><li>
2+ years of experience leading, mentoring, or managing data engineers in a tech lead, staff-level project lead, engineering manager, or TLM capacity</li><li>
Strong hands-on experience with industry-standard tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BI</li><li>
Deep understanding of OLTP and OLAP systems, including the ability to design architectures that support transactional, analytical, and operational workloads</li><li>
Experience building flexible data pipelines across many source and destination types, including databases, APIs, files, queues, event streams, SaaS platforms, and internal systems</li><li>
Strong experience with both batch and real-time processing patterns, including tradeoffs in latency, reliability, cost, and operational complexity</li><li>
Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure</li><li>
Advanced SQL and data modeling expertise, including schema design, warehouse optimization, semantic modeling, and performance tuning</li><li>
Strong programming ability in languages commonly used in data engineering, such as Python, Java, Scala, Go, or similar</li><li>
Comfort with CI/CD, infrastructure-as-code, automated testing, observability, incident response, and production operations for data systems</li><li>
Strong architectural judgment in ambiguous environments where systems must balance speed, reliability, compliance, maintainability, and long-term leverage</li><li>
Clear communication skills with both technical and non-technical teammates, including the ability to explain tradeoffs and influence direction</li></ul><div></div> 
Preferred Experience<ul><li>
Experience operating as a Technical Lead or Tech Lead Manager responsible for both technical implementation, technical direction, and people development</li><li>
Experience with modern orchestration and transformation tools such as Airflow, Dagster, dbt, or similar platforms</li><li>
Experience with cloud-native warehouses or lakehouse platforms such as Snowflake, BigQuery, Redshift, Databricks, or equivalent technologies</li><li>
Experience with streaming systems such as Kafka, Kinesis, Pub/Sub, Flink, Spark Streaming, or similar technologies</li><li>
Experience enabling BI and self-service analytics through curated datasets, semantic layers, and reporting platforms such as Looker, Tableau, Power BI, or similar tools</li><li>
Experience building data platforms that support AI, machine learning, decisioning, or LLM-powered workflows</li><li>
Experience scaling a data engineering function, including technical standards, operating rhythms, hiring, onboarding, and team development</li><li>
Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains</li></ul> 
A Note to Candidates<div>
You do not need prior fintech or finance experience to succeed in this role. If you are a senior data engineer with strong architectural judgment, a hands-on builder mindset, and the ability to develop other engineers, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply.</div><div></div><div> 
Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.</div><div></div><div> 
#LI-Remote</div></div>

Lead Data Engineer

Coca-Cola HBC

<div>
 
 
 Department
 
 : DTPS Factories Platform
 
 
 
 Location
 
 :
 
 
 Egypt (Cairo).
 
 
 
 
 
 
 
 
 We are looking for an intellectually curious Senior Power BI Developer with significant technical skills in Power BI and business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate &amp; transform data from various data systems into structures that are suitable for building analytical solutions, connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting in Coca-Cola Hellenic.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, develop, and deploy advanced Power BI reports and dashboards that provide deep insights and support strategic decision-making.
 
 
 &bull; Integrate data from various sources, ensuring accuracy, completeness, and reliability of data.
 
 
 &bull; Lead BI projects from concept to completion, including requirement gathering, design, development, testing, and deployment.
 
 
 &bull; Collaborate with cross-functional teams, including business stakeholders, data engineers, and IT, to ensure BI solutions meet business needs.
 
 
 &bull; Monitor and maintain the performance of BI solutions, ensuring high availability and performance.
 
 
 &bull; Troubleshoot and resolve issues related to Power BI reports and dashboards.
 
 
 &bull; Utilize advanced DAX (Data Analysis Expressions) to create complex calculations and data models.
 
 
 &bull; Provide guidance, mentorship, and training to junior BI developers and analysts.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s/master&rsquo;s degree in computer science, information systems, data analytics, or a related field (or an equivalent of 3 years of practical experience in a technical domain).
 
 
 &bull; Strong knowledge of Microsoft Power BI/Qlik or Tableau.
 
 
 &bull; Experienced with data visualization principles, measure/KBI-creation &amp; best principles in semantic modeling (especially star schema creation).
 
 
 &bull; Strong experience with DAX (Data Analysis Expressions) for creating complex calculations in Power BI or similar tools is a must.
 
 
 &bull; Minimum 2 years of practical experience with large data analytics languages like SQL/TSQL/MSQL.
 
 
 &bull; Proven practical experience in implementing/organizing the implementation of technical products with business/none-technical stakeholders.
 
 
 &bull; Strong analytical and problem-solving and communication skills are a must for the role.
 
 
 &bull; Ability to work independently and collaboratively in a team environment.
 
 
 &bull; Good proficiency in English as a day-to-day business language is a must.
 
 
 
 
 
 Qualifications considered as a plus:
 
 
 &bull; First proven leadership capabilities towards junior employees and a proactive approach to project management.
 
 
 &bull; Basic programming knowledge in any high-level programming language (C++/C#/Java/Python/R).
 
 
 &bull; Knowledge of Power Query for data preparation and transformation.
 
 
 &bull; Previous work experience in a data-related role especially within the financial and commercial domain.
 
 
 
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact. We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth. We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be. And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPENUP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
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