warehouse engineer

Astra Tech

<div>
 <p>
  <strong>
   <u>
    Role Summary
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is critically necessary to ensure the Data Team can successfully meet its core OKRs, particularly those related to
  <strong>
   Data Governance, Unified Data Warehouse (DWH) construction, and financial risk data support.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Role Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The new Senior Data Engineer will primarily be responsible for the following areas:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    DWH Architecture and Modeling:
   </strong>
   Driving the architectural design of the Financial Data Warehouse (DWH) and core dimensional modeling (e.g., user, order, repayment, and risk feature domains) to ensure high performance, stability, and scalability.
  </li>
  <li>
   <strong>
    SSOT Delivery:
   </strong>
   Taking ownership of implementing the Single Source of Truth for key business KPIs across all products.
  </li>
  <li>
   <strong>
    Data Quality Assurance:
   </strong>
   Establishing rigorous data quality checks and monitoring for critical financial fact tables and risk features, using both automated and manual processes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Requirements
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We seek a candidate with the following non-negotiable experience and skills to ensure immediate, high-impact contributions:
 </p>
 <ol>
  <li>
   <strong>
    <u>
     Senior Technical Expertise:
    </u>
   </strong>
   5+ years of experience in big data platform development and maintenance, proficient in technologies like HIVE/Spark/Flink, with extensive experience in DWH Modeling, ETL design, and optimization.
  </li>
  <li>
   <strong>
    <u>
     Strong Governance Skills
    </u>
    :
   </strong>
   Proven, hands-on experience in building a data governance system from scratch, including familiarity with metadata management tools and formal data quality methodologies.
  </li>
  <li>
   <strong>
    <u>
     Financial Services Domain (Mandatory)
    </u>
    :
   </strong>
   <strong>
    Must
   </strong>
   possess deep data experience in the financial, credit, payments, or risk control sectors. They must intimately understand the core financial business processes and data models related to
   <strong>
    loan origination, repayment, delinquency, and risk feature engineering.
   </strong>
  </li>
 </ol>
 <p>
 </p>
</div>


Senior Data Warehouse Engineer

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
  </li>
  <li>
   Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
  </li>
  <li>
   Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
  </li>
  <li>
   Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
  </li>
  <li>
   Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
  </li>
  <li>
   Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
  </li>
  <li>
   Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
  </li>
  <li>
   Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
  </li>
  <li>
   Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
  </li>
  <li>
   Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
  </li>
  <li>
   Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
  </li>
  <li>
   Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
  </li>
  <li>
   Familiarity with data integration and workflow management tools such as Apache Airflow
  </li>
  <li>
   Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  </li>
  <li>
   Attention to detail and a strong commitment to delivering high-quality work within established timelines.
  </li>
  <li>
   Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.
  </li>
 </ul>
</div>


Senior Data Warehouse Engineer I

Tech Pinacle Innovation Pvt Ltd

<p><b>Job Title:</b> Azure Data Engineer</p><p><b>Role Summary</b></p><p>We are seeking a highly skilled Azure Data Engineer with strong expertise in Azure Data Factory (ADF), Azure Databricks, and advanced SQL. The ideal candidate will design, develop, and maintain enterprise-grade data pipelines and data warehouse solutions in Azure cloud environments. This role requires hands-on experience in ETL development, data modeling, performance optimization, and version-controlled data engineering practices.</p><p><b>Key Responsibilities</b></p><p><b>Data Engineering &amp; Pipeline Development</b></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).</li><li>Develop and optimize data transformation workflows in Azure Databricks.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Ensure reliable data ingestion, transformation, and loading processes.</li></ul><p><b>Data Warehouse &amp; Architecture</b></p><ul><li>Build enterprise-level data warehouse solutions using Azure SQL and Databricks.</li><li>Design dimensional models, star/snowflake schemas, and data marts.</li><li>Implement data governance, quality checks, and validation rules.</li><li>Optimize query performance and storage strategies.</li></ul><p><b>SQL &amp; Data Optimization</b></p><ul><li>Write advanced SQL queries for data extraction, transformation, and analysis.</li><li>Perform performance tuning and query optimization.</li><li>Manage indexing strategies and data partitioning techniques.</li><li>Support complex joins, aggregations, stored procedures, and views.</li></ul><p><b>Cloud &amp; DevOps Practices</b></p><ul><li>Use GitHub for version control and code management.</li><li>Implement CI/CD processes for data pipelines.</li><li>Collaborate with DevOps teams for automated deployment and monitoring.</li><li>Follow best practices in code reviews and documentation.</li></ul><p><b>Visualization &amp; Reporting Support</b></p><ul><li>Support integration with visualization tools (Power BI or similar).</li><li>Prepare curated datasets for reporting and analytics.</li><li>Ensure data consistency across BI dashboards and reports.</li></ul><p><b>Required Qualifications</b></p><ul><li>4+ years of experience working with Azure Data Factory (ADF).</li><li>3+ years of advanced SQL development experience.</li><li>3+ years of hands-on experience with Azure Databricks and Azure SQL.</li><li>Strong experience building enterprise-level data warehouse projects.</li><li>Proficiency with GitHub for version control.</li><li>Solid understanding of ETL processes and data warehouse concepts.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with visualization tools such as Power BI.</li><li>Knowledge of performance tuning in large-scale data environments.</li><li>Experience with Delta Lake architecture.</li><li>Exposure to data governance and security best practices.</li></ul><p><b>Key Competencies</b></p><ul><li>Azure Data Factory (ADF)</li><li>Azure Databricks</li><li>Azure SQL</li><li>Advanced SQL development</li><li>Data warehouse architecture</li><li>ETL/ELT development</li><li>Git-based version control</li><li>Performance optimization</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹492,829.33 - ₹1,770,745.20 per year</p><p>Work Location: Hybrid remote in Noida</p>

Azure Data Engineer

Expleo Group

<div>Overview:
<div>
As an Automotive engineer, you will be part of the team who are transforming the future of mobility industry by developing solutions for autonomous vehicles, electric mobility, and digitalisation. Join us to help the global automotive giants to optimise performance and sustainability through continuous innovation. You will have the opportunity to work on projects that integrate the latest technologies to enhance vehicle safety, efficiency, and environmental impact.</div><div>
Make a direct impact on creating safer, smarter, and greener transportation solutions that will define the automotive industry of tomorrow.</div><div></div><p><br>
Expleo is the home of bold and reliable minds. With more than 50 years of experience in developing complex products, optimising manufacturing processes, and ensuring the quality of information systems, Expleo boasts an extensive global footprint, powered by 19,000 highly skilled experts delivering value in 30 countries.</p><p>
Our efforts in creating a supportive and inclusive workplace in India have earned us some key recognitions:</p><ul><li>
'Great Place to Work' certification for building a supportive, engaging environment.</li><li>
'Progressive Place to Work,' by ET Now, for our dedication to innovation and inclusive workplace policies.</li><li>
'Best Organizations for Women,' by ET Now, for empowering women by providing equal opportunities, supporting professional development and promoting inclusive leadership.</li></ul>
Responsibilities:
<div><b>
Vehicle &ndash; Warehouse Incharge</b></div><div>
3+ years of experience in Warehouse Management</div><div>
Knowledge in Automobile parts</div><div>
Understand supplier invoice and Purchase order contents</div><div>
Familiar in Microsoft Excel,Powerpoint,Word</div><div>
Monthly dashboard preparation for parts inward / outward</div><div>
Parts kitting as per part list</div><div>
Familiar in Warehouse Management system</div><div></div><div><b><br>
Procurement Engineer</b></div><div><b>
4+ </b><b>years experience in supply chain background with good communication and negotiation skills. Good excel knowledge, Zone wise vehicle build knowledge, Knowledge on basic taxation and Finance rules and regulations , Import , Export norms knowledge, Basic Packaging skills, Good knowledge on parts understanding .Members preferably from Automobile industry and Diploma holders
</b></div>Qualifications:
<div>
B.E. Diploma</div>
Essential skills:
<ul><li>Good knowledge on Warehouse Management
</li><li>Good communication skills</li><li>
Good knowledge on Supply chain management
</li><li>
</li></ul>Desired skills:
<div>
Strong communication, interpersonal skills</div><div>
Ability to work with deadlines &amp; without supervision</div><div>
Analytical skills and logical thinking</div><div>
Adaptability and learning skills</div><div>
Negotiation Skills</div>
Experience:
<div>
3-7 years</div>
Benefits:
<ul><li>Collaborative working environment &ndash; We stand shoulder to shoulder with our clients and our peers, developing solutions that create a sustainable today and tomorrow.</li><li>
Continuous learning - Our Learning &amp; Leadership Development team has established a world-class learning ecosystem that enables you to acquire and develop the right skills by delivering a suite of accredited training courses.</li><li>
Global organisation - We provide solutions to leading brands from various sectors, giving you the opportunity to work with top-tier companies providing impactful solutions to our customers&rsquo; customers.</li></ul></div>

Warehouse and Procurement Engineer

Gemini Legal Support Inc

<div>Description:
<p>
 <b>A Little Bit About Us</b></p><p>
If you're looking for a rewarding career at a company with a supportive workplace culture and unlimited potential for growth, consider Gemini Legal. We are a dynamic, industry-leading, technology-based company headquartered in Rocklin, California. Gemini provides support services to California attorneys, collecting digital records and offering vocational counseling to injured workers.</p><p>
Our management team has an open-door policy, and our exceptional growth is credited solely to our team members and their dedication to collaborate, achieve and give back. Success is celebrated and integrity is the essence of who we are.</p><p>
Ethical. Passionate. Smart. These three tenets drive our diverse team, and we welcome dedicated individuals to apply to join our work family.</p><p>
Gemini&rsquo;s vision and opportunity is to earn respect as the leading provider of ethical, quality legal support products and services to a growing number of attorneys and types of law. We deliver on our mission through principled, personal leadership. We embrace and meet our clients&rsquo; true needs by providing a safe, stable and competitive work environment where employees, clients and vendors enrich ?their community and themselves personally and professionally.</p><p>
 <b>A Little Bit About the Position</b></p><p>
The BI (Business Intelligence) Engineer IV&rsquo;s purpose at Gemini is to organize and design: comprehensive data collection, organization, analysis, and support: sculpting enterprise-quality data warehouse solutions that support fast visualization providing actionable insights that support strategic business decisions. This role involves managing ETL, architecting, designing and implementing data warehouse solutions (including OLAP), complex dashboards and reports, and performing detailed statistical analyses using professional-grade indicators. As a member of the Engineering team, the BI Engineer IV is an experienced, detail-oriented, and self-motivated architect both in terms of data warehouse structure and data presentation.The BI (Business Intelligence) Engineer IV at Gemini is responsible for designing and implementing enterprise-quality data warehouse solutions. This critical role involves architecting and managing the complete data lifecycle&mdash;from comprehensive data collection and organization to detailed analysis. The ultimate goal is to sculpt solutions, including OLAP, that provide fast visualization and actionable insights, supporting strategic business decisions.</p><p>
As an experienced, self-motivated, and detail-oriented member of the Engineering team, the BI Engineer IV will manage ETL processes, design complex dashboards and reports, and perform detailed statistical analyses using professional-grade indicators. This individual acts as a core architect for both data warehouse structure and data presentation.</p><ul><li><b>
Location:</b> Hybrid / Remote in Rocklin, CA HQ</li><li><b>
Schedule:</b> Monday-Friday, 8:00am-5:00pm</li><li><b>
Compensation:</b> $145,000 - $174,000 Annually</li></ul>
Requirements:
<p><b>
Responsibilities</b></p><ul><li>
In collaboration with the BI team, design and engage engineering best practices (code review processes, git workflows, CI/CD)</li><li>
Collaborate with the BI team to follow and keep up to date &ldquo;Definition of Done&rdquo; agreements</li><li>
Collaborating with the BI team to architect and design modern, scalable warehouse architecture (Snowflake: dimensional models for reporting)</li><li>
Evaluating and recommending data transformation methodologies, frameworks and tools</li><li>
Collaborate with the Director of Engineering on Build vs. Buy decisions for tools and infrastructure</li><li>
Collaborate with the BI Team to architect and design processes and standards for table design include primary and foreign keys, and audit columns</li><li>
Optimize warehouse performance via partitioning, clustering, query design and other processes to balance fast execution versus spend</li><li>
Collaborate with the BI Team to build repeatable transformation patterns and establish the standard use of frameworks</li><li>
Collaborate with the BI Team to create automated data quality monitoring, including: quarantine tables, alerts, and error handling</li><li>
Conduct in-depth data analysis to uncover trends, patterns, and correlations that drive business decisions</li><li>
Architect and design operational dashboards that track pipeline health: data freshness, volume anomalies, schema drift, changes in error rates, etc.</li><li>
Design and develop data warehouse structures to support Tableau explorer-users finding the linked data they need</li><li>
Establish version control practices for analytics code and database objects</li><li>
Perform complex statistical analyses and hypothesis testing to support strategic initiatives</li><li>
Design and implement data processes and automation to enhance efficiency and accuracy</li><li>
Confidently provide detailed insights and recommendations based on data analysis to influence business strategies</li><li>
Provide support on data use and analysis to BI Developers, including SQL, structuring views, creating stored procedures and database analysis tasks</li><li>
Ensure compliance with data integrity, security, and company policies in all analytical tasks</li><li>
Stay current with industry trends, tools, and best practices in data analysis and visualization</li><li>
Initiate, manage, and deliver multiple projects simultaneously, prioritizing tasks and meeting deadlines while coordinating the BI Team closely</li><li>
Continuously enhance technical skills and knowledge in data analysis and visualization</li><li>
Regularly exercise independent judgment and discretion while performing complex work and collaborating with the Director of Engineering regularly</li><li>
Other duties as assigned.</li></ul><p><b>
Experience, Skills and Abilities</b></p><ul><li>
Education and/or experience:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Mathematics, Economics, Information Management, Statistics, or a related field, or equivalent experience level, required</li>
<li>4-6 years of progressive professional experience in data work</li>
<li>Proven track record in conducting complex statistical analyses, executing projects, and generating actionable insights from large data sets</li>
</ul></li><li>Skills:
<ul><li>Advanced time management and organizational skills</li>
<li>Strong verbal and written communication skills</li>
<li>Fundamental orientation to collaborative work styles</li>
<li>Ability to handle a high volume of work and function in a fast-paced environment, on deadline</li>
<li>Self-motivated and directed, with keen attention to detail</li>
</ul></li><li>Technology:
<ul><li>Proficient using a computer, office software, video conferencing, and other computer programs including Google Workplace (Docs, Sheets, Calendar, Gmail, etc.)</li>
<li>Extensive experience in database management, database development, data querying with SQL</li>
<li>Proficiency in at least one coding language for the use of data analytics (e.g. Python, R, etc.)</li>
<li>Experience using data visualization tools like Tableau</li>
<li>Experience with ETL (extract, transform, load) best practices and tools</li>
<li>Advanced Proficiency in managing and developing data warehouse structures like materialized views and calculated fields to support fast analyses</li>
<li>Proficiency in developing and working with OLAP/data summary structures in a data warehouse setting</li>
<li>3-5 Years of working experience with Snowflake</li>
</ul></li><li>Strong verbal and written communication skills</li><li>
Other:
<ul><li>Dedication to continuous improvement, self and group learning</li>
<li>Experience working in an office setting</li>
<li>Exceptional teamwork</li>
</ul></li></ul><p><b>Functional Requirements</b></p><p>
Must be able to perform the essential functions of the position with or without accommodation, including, but not limited to:</p><ul><li>
Sitting for at least one hour at a time (total: 6-8 hours/day)</li><li>
Keyboarding for extended periods of time (total: 6-8 hours/day)</li><li>
Using a phone with or without a headset for extended periods (total: 2-4 hours/day)</li></ul><p><b>
TRAVEL</b></p><p>
Travel may be required for this position up to 10% of working hours</p><p><b>
What You'll Love About Gemini</b></p><ul><li>
Comprehensive health coverage including medical, dental, and vision</li><li>
Generous time-off to support work-life balance including PTO, volunteer time, sick time, and paid holidays</li><li>
401(k) plan with company match to support your financial future</li><li>
Company culture rooted in shared values and community</li><li>
Education tuition reimbursement program</li><li>
Employee Assistance Program (EAP) and legal assistance benefit</li><li>
Company-paid annual donation to a non-profit or charity of your choice</li><li>
Employee recognition program with gifts and awards</li></ul></div>

BI Engineer IV

XeoMatrix

<div>
 <p>
  Data Engineer
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  We are currently seeking an experienced data engineer with 3 - 5 years with hands-on data engineering experience. This candidate must possess technical, business analysis, and communication skills. This position offers an opportunity to work directly with clients to design strategic data solutions that help them visualize complex data in a focused manner. This includes architecting, building, &amp; maintaining data lakes, data warehouses, &amp; data pipelines.&nbsp;This individual will work closely with customers to gather requirements, prototype designs, and develop the final deliverable. Familiarity with the Tableau architecture and best practices is a plus.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  Position Requirements:
 </p>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   3 - 5 years experience with implementing client-facing large-scale data warehouse solutions
  </li>
  <li>
   Experience with Salesforce products (specifically Data Cloud) is preferred
  </li>
  <li>
   Extensive experience with programming data pipelines: Python, SQL, &amp; REST APIs required
  </li>
  <li>
   Strong experience with AWS, GCP, &amp; Azure technology stacks
  </li>
  <li>
   Experience implementing data solutions using Snowflake, BigQuery, Databricks, Redshift, &amp; Azure Synapse
  </li>
  <li>
   Familiarity working building data lake and data warehouse architectures
  </li>
  <li>
   Experience with developmental best practices: source control, PRs, CI/CD
  </li>
  <li>
   Familiarity with orchestration tools like Airflow
  </li>
  <li>
   Experience building data pipelines with Matillion &amp; Fivetran is a plus.
  </li>
  <li>
   Experience assisting clients with migrating from legacy to modern data platforms
  </li>
  <li>
   Expertise with Tableau dashboard and data visualization design is a plus
  </li>
  <li>
   Industry experience in Retail, Finance, Supply Chain, Healthcare, and/or Manufacturing
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  XeoMatrix is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, State, or local law. Employment decisions are based solely on qualifications, merit, and business need.
 </p>
</div>


Data Engineer

Bizimply

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><b><br>
About Bizimply</b></div><div></div><div><br>
Bizimply is a workforce management platform designed to streamline operations for businesses in the hospitality, retail, and leisure industries. The Bizimply platform provides a comprehensive suite of tools that enable businesses to efficiently manage their workforce, including scheduling, time and attendance tracking, task management, HR and performance reporting. By centralising these functions in one user-friendly interface, Bizimply helps businesses save time, reduce administrative overhead, and improve overall operational efficiency.</div><div></div><div><br>
We&rsquo;re looking for a <b>Data Engineer</b> to help us extend the foundational data infrastructure that will power the next phase of growth, including our AI initiatives. You&rsquo;ll be joining a small, enthusiastic team so we&rsquo;re looking for someone who can both build and support, excited by the challenge of laying down best practices and helping shape our new data stack.<br>
</div><div>Your primary focus will be on extending Bizimply&rsquo;s <b>Data Store (ODS)</b> and laying the groundwork for a future <b>Data Warehouse</b>. You'll work closely with our senior data engineer, as well as software engineering and product teams to enable better decision-making and intelligent automation.</div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><br>
<ul>
<li>
Build and maintain robust, scalable data pipelines using <b>Airflow,</b> <b>Python</b>, and <b>SQL</b>.</li>
<li>Design, build, optimize data pipelines using <b>dbt</b>, or <b>sqlmesh</b>.</li>
<li>Develop and manage the <b>ODS</b> and support the eventual rollout of a modern <b>Data Warehouse</b>.</li>
<li>Integrate data from internal systems and external APIs to create clean, reliable datasets.</li>
<li>Work closely with engineers to operationalize machine learning workflows.</li>
<li>Ensure high data quality through monitoring, validation, and error handling.</li>
<li>Provide guidance to less experienced team members and champion data engineering best practices.</li>
<li>Deploy and manage infrastructure in the <b>cloud (AWS, GCP, or Azure)</b> using modern DevOps tooling.</li>
<li>Implement monitoring and alerting to ensure data pipelines are reliable and maintainable.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Skills, Knowledge and Expertise</b></h3><br>
<ul>
<li>
At least 5 years of experience in data engineering or related roles.</li>
<li>Strong skills in Python, SQL, and Airflow or similar orchestration tools.</li>
<li>Experience working with cloud infrastructure and data warehousing tools (e.g., Snowflake, BigQuery, Redshift).</li>
<li>Exposure to ML pipelines or collaboration with ML/AI teams.</li>
<li>Ability to work independently while supporting a less-experienced team.</li>
Strong communication skills and an eagerness to mentor and share knowledge<br>
<li>
</li></ul><ul><li>Experience building an ODS or Data Warehouse from scratch.</li>
<li>Familiarity with event-driven systems or streaming tools (e.g., Kafka, Pub/Sub).</li>
<li>DevOps experience or infrastructure-as-code (e.g., Terraform, CloudFormation).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3><br>
<ul>
<li>
Competitive compensation aligned with relevant experience.</li>
<li>Remote-friendly, flexible work environment.</li>
<li>Budget for learning, courses, and conferences.</li>
<li>A supportive, mission-driven team eager to grow and learn together.</li></ul><br>
<h3 class="jobSectionHeader"><b>
About Bizimply</b></h3><div>
Bizimply is a multi-platform solution <b>born in the world of cafes, bars, restaurants and pubs, where getting your wage spend right is crucial</b>. We&rsquo;ve been transforming hospitality scheduling in the UK and Ireland for over a decade. Our shared experience gave us the expertise to help create spot-on staff rotas and keep everything compliant, giving our customers more bandwidth to focus on what&rsquo;s important.<br>
Our intuitive design ensures that every manager has the tools to hit their <b>sales per labour hour</b> <b>goals</b>, with a complete view of their day-to-day operations. From streamlined scheduling to effortless compliance, we make every shift run like clockwork.<br>
At Bizimply, you'll have the opportunity to grow your career, gain hands-on experience, and be part of a team that&rsquo;s revolutionising the hospitality industry.</div></div>

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