business intelligence engineer

Hepsiburada (NASDAQ: HEPS)

<div>
 
 At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
 
 
 
 
 
 Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
 
 
 
 
 
 With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
 
 
 
 
 
 For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
 
 
 
 
 
 If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Developing, analyzing and maintaining the dashboards which are produced in BI Platforms,
 </li>
 <li>
 Ensuring BI Platforms &amp; Decision-making Systems serve continuously and produce consistent reports,
 </li>
 <li>
 Execution of relevant test and maintenance stages in all BI processes,
 </li>
 <li>
 Meeting the problems and new development requests coming to the unit within the scope of business intelligence,
 </li>
 <li>
 Contribute to the performance and architecture management of the BI reporting tool used.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 B.S. degree preferably in Computer Science, Industrial Engineering, MIS, Mathematics, or related fields,
 </li>
 <li>
 At least 3 years of experience in Business Intelligence tools; such as QlikSense, QlikSense SAAS, QlikView vs.
 </li>
 <li>
 Knowledge of Data Modeling, Data Warehousing and ETL processes,
 </li>
 <li>
 Knowledge of Cloud platforms, such as Google Cloud Platform,
 </li>
 <li>
 Knowledge of Data Governance principles and approach,
 </li>
 <li>
 Seeing reporting not only as an interface that shows the past but also as an analytical and forward-looking tool.
 </li>
 </ul>
 
 
 
 
 
 
 
 https://medium.com/hepsiburadatech
 
 
 https://stackshare.io/hepsiburada
 
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir.Ayd&inodot;nlatma Metni&rsquo;ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ula&scedil;abilirsiniz.
 
 
</div>

Business Intelligence Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across billions of products, including physical, digital, and service offerings. 
You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience. 
We are looking for a creative and goal-oriented Business Intelligence Engineer (BIE) to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth. 
This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BIE will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making. 
 
You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. 
As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety. You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner. This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. There will be a steep learning curve, adding a fair amount of business skills to the individual. 
 
Key job responsibilities 
<ul><li>Collaborate with business and product leaders to solve problems, create operational efficiencies, and deliver against high organizational standards</li><li>Apply analytical techniques to answer high-impact business questions and present insights in a concise, effective manner</li><li>Build and maintain a robust set of operational and business metrics to identify improvement opportunities</li><li>Translate data into meaningful insights that inform strategic decision-making by senior leaders</li><li>Partner with stakeholders to gather requirements, integrate data sources, and develop analytics and reporting solutions</li><li>Demonstrate proficiency in SQL, data analysis, and data visualization tools to drive data-driven decision making</li><li>Dive deep into technical and operational details to resolve complex problems, coordinating with engineering teams as needed</li><li>Thrive in a dynamic, fast-paced environment, leveraging strong analytical skills, business acumen, and the ability to operate at scale.</li><li>Define, develop, and maintain critical business and operational metrics reviewed on a regular basis.</li><li>Analyze historical data to identify trends and support decision-making, including presenting results and recommendations.</li><li>Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and reporting.</li><li>Identify trends in metrics and segment them along suitable dimensions to reveal deeper dynamics.</li><li>Provide actionable insights to senior leaders to inform strategies in critical areas.</li></ul> 
A day in the life 
A day in the life of a BIE-I will include: 
 
<ul><li>Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers</li><li>Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making</li><li>Leading reporting and analytics initiatives to drive data-informed decision making</li><li>Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight</li><li>Transforming complex business requirements into actionable analytics solutions.</li></ul> 
About the team 
This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience applying basic statistical methods (e.g. regression) to difficult business problems</li><li>Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports</li><li>Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)</li><li>Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field</li><li>Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li><li>Experience in the data/BI space</li><li>Experience in designing and implementing custom reporting systems using automation tools</li><li>Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, Amazon

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
SCOT AIM team is seeking an exceptional Business Intelligence Engineer to join our innovative Inventory automation analytics team. This pioneering role will be instrumental in building and scaling analytics solutions that drive critical business decisions across inventory management, supply chain optimization and channel performance. You will work closely with Scientists, Product Managers, other Business Intelligence Engineers, and Supply Chain Managers to build scalable, high insight - high impact products and own improvements to business outcomes within your area, enabling WW and local solutions for retail 
 
Key job responsibilities 
Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally. 
<ul><li>Design and develop end-to-end analytics solutions to monitor and optimize supply chain metrics, including and not limited to availability, placement, inventory efficiency and capacity planning &amp; management at various business hierarchies.</li><li>Create interactive dashboards and automated reporting systems to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN/GL/Sub-category/LOB/Brand level).</li><li>Build predictive models for seasonal demand forecasting and inventory planning, supporting critical business events and promotions.</li><li>Create scalable solutions for tracking deal inventory readiness for small events and channel share management.</li><li>Partner with category &amp; business stakeholders to identify opportunities for process automation and innovation.</li></ul> 
A day in the life 
<ul><li>Pioneering new analytical approaches and establishing best practices.</li><li>Building solutions from the ground up with significant autonomy.</li><li>Driving innovation in supply chain analytics through automation and advanced analytics.</li><li>Making a direct impact on business performance through data-driven decision making.</li></ul> 
About the team 
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon&rsquo;s Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart &amp; passionate team members. (Learn more about SCOT: http://bit.ly/amazon-scot)</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Experience working directly with business stakeholders to translate between data and business needs</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, SCOT AIM

Centene

<div>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. 
Position Purpose: Creates complex Enterprise-class data assets that provide business insight and aid business decision-making. Assets will include (but are not limited to) reports, visualizations, dashboards, and data extracts. Produces complex reports and performs meaningful quantitative or qualitative analyses addressing impactful business issues or questions. Combines these reports with subject-matter expertise to deliver coherent, insightful takeaways comprehensive read-outs, and advice/recommendations grounded in what our data is telling us.<ul><li>
Develops complex BI solution architecture that accurately translates business requirements to technology solutions and ensures the design will meet business requirements throughout the lifecycle of a change</li>
<li>Participates in and implements day-to-day activities related to defining architecture, establishing infrastructure, and implementing standards used to create frameworks/patterns for delivering business intelligence solutions</li>
<li>Conducts complex business analysis activities to enable technology solutions that adequately fulfill strategic business needs and objectives</li>
<li>Delivers complex project setups, analysis, data flows, designs (wireframes/mock-up), etc., for and in partnership with customers</li>
<li>Helps lead the execution of long-term strategic goals for business intelligence development in conjunction with end users, management, customers, and other stakeholders</li>
<li>Conducts extensive research and makes recommendations on business intelligence products, services, and standards in support of procurement and development efforts</li>
<li>Performs and oversees complex programming, quality assurance reviews, documentation, system deployment, training, and project setup/support</li>
<li>Provides timely and appropriate communication to business owners, stakeholders, and users on issue status and resolution</li>
<li>Develops, maintains, and implements the business intelligence architecture as a core asset at Centene</li>
<li>Collaborates with end users to identify needs and opportunities for improved data management, process efficiency with respect to data and delivery</li>
<li>Collaborates with both Enterprise Architecture (EA) and EDAS Solutions Architecture on the solution/service design to ensure it conforms to enterprise architectural standards and future roadmaps</li><li>
Performs other duties as assigned</li>
<li>Complies with all policies and standards</li></ul>
Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and Requires 4 &ndash; 6 years of related experience. 
 
Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. 
 
Technical Skills:<ul><li>
One or more of the following skills are desired.</li><li>
Experience with one or more of the following Business Intelligence; Data Analysis; Microsoft Azure; SAS (Software); SQL (Programming Language); Statistical Analysis Systems (SAS); Tableau (Business Intelligence Software)</li><li>
Experience with Data Modeling; Python (Programming Language); Quality Assurance; SQL (Programming Language)</li><li>
Experience with one or more of the following Analytical Techniques; Business Analysis; Quantitative Analysis; Risk Analysis; Root Cause Analysis; Statistical Process Controls</li><li>
Knowledge of Microsoft Visio; User Flows; Workflows</li></ul> 
Soft Skills:<ul><li>
Intermediate - Seeks to acquire knowledge in area of specialty</li><li>
Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions</li><li>
Intermediate - Ability to work independently</li><li>
Intermediate - Demonstrated analytical skills</li><li>
Intermediate - Demonstrated project management skills</li><li>
Intermediate - Demonstrates a high level of accuracy, even under pressure</li><li>
Intermediate - Demonstrates excellent judgment and decision making skills</li></ul>
Pay Range: $85,300.00 - $158,100.00 per year
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. 
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</div>

Senior Business Intelligence Engineer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about leveraging evolving LLM technology to solve one of Amazon's most fundamental challenges? Do you want to be build products to fix gaps that impact a product's performance? As the Senior Business Analyst for the RBS Selection Value team (winner of the 2025 Amazon Door Desk Award), you'll shape the future of how Amazon teams understand and act on products at unprecedented scale. 
 
Key job responsibilities 
As a Business Intelligence Engineer in RBS Selection Value Team, you will be responsible for analyzing data to identify product value drop-off, developing scalable solutions for prevention. In addition you will be responsible for building AI-LLM models to predict and identify opportunities to maximise a products potential. 
 
Responsibilities: 
<ul><li>Understand the requirements of stakeholders and map them with the data sources/data warehouse</li><li>Design and develop highly available dashboards and metrics using Tableau, Excel and SQL.</li><li>Execute high impact LLM models
</li><li>Perform business analysis and data queries using scripting languages like R, Python etc.</li><li>Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)</li></ul> 
A day in the life 
You'll operate at the intersection of evolving LLM technology and real-world business impact. A typical day might include: 
1) Working closely with Amazon teams to understand their feedback analysis needs, and build solutions to maximise value 
2) Defining platform features and requirements for upcoming releases 
3) Collaborating with Data Scientists and Engineers to build and optimize our offerings 
4) Analysing platform metrics to identify performance optimization opportunities 
5) Contributing to technical design reviews for new features 
6) Reviewing customer feedback and usage patterns to guide product evolution</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Business Intelligence Engineer, RBS Selection Value

Diyar United Company

<div>
 
 We&rsquo;re expanding our IT team and inviting motivated individuals who are ready to learn, collaborate, and build quality solutions with us. We are seeking an experienced Business Intelligence (BI) Engineer to design, develop, and optimize scalable BI solutions that support data-driven decision-making across the organization. The ideal candidate is an expert in Power BI and DAX, with strong cloud data engineering capabilities (Azure, Fabric, or GCP) and a proven ability to transform raw data into reliable, actionable insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, maintain, and optimize Power BI dashboards, datasets, and semantic models with advanced DAX calculations.
 </li>
 <li>
 Design and implement data pipelines, transformations, and data quality processes in cloud environments (Azure/Fabric/GCP).
 </li>
 <li>
 Cleanse, transform, and integrate data from a wide variety of heterogeneous data sources including relational databases, cloud services, APIs, and flat files.
 </li>
 <li>
 Collaborate with business stakeholders to gather requirements, understand business processes, and convert them into robust BI and data engineering solutions.
 </li>
 <li>
 Ensure adherence to best practices in data governance, security, metadata management, and performance optimization.
 </li>
 <li>
 Work closely with data architects, analysts, and engineering teams to maintain high-quality, scalable BI ecosystems.
 </li>
 <li>
 Support continuous improvement of data models, documentation, and development standards.
 </li>
 </ul>
 
 
 
 
 
 Essential Requirements:
 
 
 <ul>
 <li>
 Expert-level proficiency in Power BI (data modeling, M Query, DAX, report optimization).
 </li>
 <li>
 Strong experience in cloud data engineering using Azure, Microsoft Fabric, or Google Cloud Platform (GCP).
 </li>
 <li>
 Hands-on experience with data cleansing, transformation, and preparation using cloud-native tools.
 </li>
 <li>
 Ability to work with and integrate diverse backend systems and data formats (SQL/NoSQL databases, APIs, streaming data, flat files, etc.).
 </li>
 <li>
 Proven experience in requirement gathering, customer/stakeholder interfacing, and translating business needs into technical solutions.
 </li>
 </ul>
 
 
 
 
 
 Recommended Skills:
 
 
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Synapse Analytics
 </li>
 <li>
 Microsoft Fabric (Lakehouse, Dataflows, Pipelines)
 </li>
 <li>
 Databricks (PySpark/Spark SQL)
 </li>
 <li>
 GCP data services (BigQuery, Dataflow, Pub/Sub, etc.)
 </li>
 <li>
 Python and relevant data libraries (Pandas, NumPy, PySpark)
 </li>
 <li>
 Experience with machine learning or MLOps workflows
 </li>
 <li>
 Strong knowledge of Apache Spark
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
 </li>
 <li>
 5+ years of BI engineering or data engineering experience.
 </li>
 <li>
 Strong analytical, communication, and problem-solving skills.
 </li>
 <li>
 Ability to work independently and collaboratively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 
 <ul>
 <li>
 
 1 position in Qatar
 
 </li>
 <li>
 
 1 position in Kuwait
 
 </li>
 </ul>
 
 
</div>

Business Intelligence (BI) Engineer- Qatar/ Kuwait

Holiday Oil Convenience Stores

<div><h2 class="jobSectionHeader">Join Our Team as a Data Engineer</h2>
Holiday Management is seeking a skilled Data Engineer to help build and maintain the data infrastructure that powers analytics, reporting, and operational insights across our organization. If you thrive at the intersection of data engineering, SQL development, and business operations, this role offers the opportunity to make a significant impact across our family of companies.
As a Data Engineer, you will design and support scalable data pipelines, ensure data quality across integrated systems, and partner closely with analysts and business stakeholders to enable accurate, reliable, and accessible insights.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Design, build, and maintain ETL/ELT pipelines to integrate data from systems such as POS, GP, Paycom, Ecotrak, Paytronix, Samsara, Store Accounting Software, WDMS, and others.</li><li>
Automate data ingestion processes and monitor pipelines for failures or anomalies.</li><li>
Develop and maintain the company KPI library to support consistent, reliable reporting.</li><li>
Collaborate with internal application owners and third-party vendors to maintain secure, dependable data exchanges.</li><li>
Create and optimize SQL views, stored procedures, and database structures for analysts and BI tools.</li><li>
Monitor and maintain database performance, including indexing, partitioning, storage, and permission management.</li><li>
Troubleshoot and tune inefficient SQL queries across applications and reporting tools.</li><li>
Implement data validation, reconciliation, and error-handling processes to ensure accuracy across systems.</li><li>
Investigate and resolve data discrepancies, partnering with business teams to address upstream issues.</li><li>
Contribute to data governance standards, naming conventions, and documentation.</li><li>
Work closely with Business Intelligence Analysts to ensure reliable datasets for dashboards, KPIs, and operational reporting.</li><li>
Document data sources, workflows, integrations, and data models in clear, accessible formats.</li><li>
Provide technical guidance on SQL, data structures, and best practices to cross-functional teams.</li></ul><h2 class="jobSectionHeader">
What We're Looking For</h2><ul><li>
Bachelor's degree in Information Systems, Computer Science, Data Engineering, or equivalent experience.</li><li>
3+ years of experience in data engineering, database development, or similar roles.</li><li>
Strong proficiency in SQL (T-SQL, PostgreSQL, or similar).</li><li>
Experience with ETL/ELT tools such as SSIS, Azure Data Factory, custom pipelines, or API integrations.</li><li>
Proven experience designing and optimizing database structures and queries.</li><li>
Strong understanding of data quality, validation, and transformation concepts.</li><li>
Ability to troubleshoot issues across pipelines, integrations, and database environments.</li><li>
Strong communication skills and the ability to partner with both technical and non-technical teams.</li></ul>
Why Holiday Oil?<ul><li>
A stable, respected Utah company with over 60 years of growth</li><li>
A collaborative environment where your work directly contributes to the company's success</li><li>
Strong values rooted in safety, quality, and integrity</li><li>
Opportunities to grow your career within the Holiday Oil family</li></ul>
If you're ready to bring your expertise to a company that values people, progress, and high-quality work, we invite you to apply and join the Holiday Oil team.
Apply Today!</div>

Data Engineer

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