data engineer

Innovaccer

<div>
 
 
 About the Role
 
 
 
 As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure &mdash; designing, building, and maintaining the scalable pipelines and platforms that power our AI-driven healthcare solutions across the Kingdom of Saudi Arabia. You will play a key role in enabling data-driven decision-making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.
 
 
 
 
 
 
 A Day in the Life
 
 
 <ul>
 <li>
 Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.
 </li>
 <li>
 Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.
 </li>
 <li>
 Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.
 </li>
 <li>
 Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.
 </li>
 <li>
 Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.
 </li>
 <li>
 Contribute to infrastructure-as-code practices, supporting CI/CD pipelines and automating deployment of data workflows.
 </li>
 <li>
 Participate in code reviews, architectural discussions, and cross-functional sprint planning to ensure delivery of high-quality, production-grade data products.
 </li>
 </ul>
 
 
 
 
 
 What You Need
 
 
 
 
 Knowledge
 
 
 <ul>
 <li>
 Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.
 </li>
 <li>
 Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.
 </li>
 </ul>
 
 
 Abilities
 
 
 <ul>
 <li>
 Ability to write clean, efficient, and well-documented code in Python and SQL.
 </li>
 <li>
 Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment.
 </li>
 <li>
 Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 Credentials &amp; Experience
 
 
 <ul>
 <li>
 3&ndash;6 years of hands-on experience in data engineering or a closely related role.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
 </li>
 <li>
 Proven experience with distributed processing frameworks such as Apache Spark or Kafka.
 </li>
 <li>
 Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.
 </li>
 <li>
 Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.
 </li>
 <li>
 Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis.
 </li>
 <li>
 Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.
 </li>
 <li>
 Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.
 </li>
 <li>
 Experience working in an Agile/Scrum environment with cross-functional global teams.
 </li>
 <li>
 Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.
 </li>
 </ul>
 
 
 
 
 We offer competitive benefits to set you up for success in and outside of work.
 
 
 
 
 
 
 Here&rsquo;s What We Offer
 
 
 <ul>
 <li>
 
 Generous Leaves:
 
 Enjoy generous leave benefits of up to 40 days.
 </li>
 <li>
 
 Parental Leave:
 
 Leverage one of industry's best parental leave policies to spend time with your new addition.
 </li>
 <li>
 
 Health Insurance:
 
 We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most.
 </li>
 <li>
 
 Care Program:
 
 Whether it&rsquo;s a celebration or a time of need, we&rsquo;ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need.
 </li>
 <li>
 
 Financial Assistance:
 
 Life happens, and when it does, we&rsquo;re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most.
 </li>
 </ul>
 
 
 
 
 Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
 
 
 
 
 
 
 Disclaimer:
 
 
 
 Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.
 
 
 
 
 
 
 About Innovaccer
 
 
 
 Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com.
 
 
 
 
 
 Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web
 
 
 
 
</div>

Data Engineer

<div>About the Role 
As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure &mdash; designing, building, and maintaining the scalable pipelines and platforms that power our AI-driven healthcare solutions across the Kingdom of Saudi Arabia. You will play a key role in enabling data-driven decision-making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.
A Day in the Life<ul><li>
Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.</li><li>
Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.</li><li>
Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.</li><li>
Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.</li><li>
Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.</li><li>
Contribute to infrastructure-as-code practices, supporting CI/CD pipelines and automating deployment of data workflows.</li><li>
Participate in code reviews, architectural discussions, and cross-functional sprint planning to ensure delivery of high-quality, production-grade data products.</li></ul> 
What You Need
Knowledge<ul><li>
Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.</li><li>
Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT.</li><li>
Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.</li></ul>
Abilities<ul><li>
Ability to write clean, efficient, and well-documented code in Python and SQL.</li><li>
Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment.</li><li>
Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders.</li></ul>
Credentials &amp; Experience<ul><li>
 3&ndash;6 years of hands-on experience in data engineering or a closely related role.</li><li>
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>
Proven experience with distributed processing frameworks such as Apache Spark or Kafka.</li><li>
Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.</li><li>
Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.</li></ul>
Preferred Skills<ul><li>
Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.</li><li>
Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis.</li><li>
Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.</li><li>
Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.</li><li>
Experience working in an Agile/Scrum environment with cross-functional global teams.</li><li>
Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.</li></ul>
We offer competitive benefits to set you up for success in and outside of work. 
Here&rsquo;s What We Offer<ul><li>
Generous Leaves: Enjoy generous leave benefits of up to 40 days.</li><li>
Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition.</li><li>
Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most.</li><li>
Care Program: Whether it&rsquo;s a celebration or a time of need, we&rsquo;ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need.</li><li>
Financial Assistance: Life happens, and when it does, we&rsquo;re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most.</li></ul>
Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.
Disclaimer:
Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. 
About Innovaccer
Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com.
Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web</div>

4261- Data Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
 <li>
 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
 <li>
 Knowledge of metadata management and integration with data catalogs.
 </li>
 <li>
 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

MENA Consultant

<div>Location: Riyadh, KSA. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Nationalities: Saudi nationals. 
We are seeking a Saudi National Data Engineer &ndash; Cloudera to support the ongoing operations, monitoring, and maintenance of an existing Cloudera data platform and its associated data pipelines. The role will focus on ensuring platform stability, resolving operational issues, supporting data quality and security, and implementing enhancements to maintain reliable, secure, and efficient data platform operations.<h2 class="jobSectionHeader">
Key Requirements</h2><ul><li>
Saudi National.</li><li>
Proven experience supporting Cloudera Data Platform (CDP).</li></ul><h2 class="jobSectionHeader">
Other Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</li><li>
Strong analytical and troubleshooting skills.</li><li>
Excellent documentation and reporting capabilities.</li><li>
Strong communication and stakeholder coordination skills.</li></ul><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Monitor and support the day-to-day operations of the Cloudera data platform and associated data pipelines.</li><li>
Track batch and real-time job executions and ensure successful processing.</li><li>
Investigate operational issues, perform root cause analysis, and implement corrective actions.</li><li>
Maintain platform availability and ensure compliance with defined SLAs.</li><li>
Implement minor enhancements, fixes, and operational improvements to existing data pipelines.</li><li>
Monitor data quality and support data validation activities.</li><li>
Manage user access requests and support data security and governance controls.</li><li>
Maintain operational documentation, runbooks, and support procedures.</li><li>
Collaborate with infrastructure, governance, and data engineering teams to ensure reliable platform operations.</li><li>
Contribute to continuous improvement initiatives to enhance platform stability, performance, and operational efficiency.</li></ul></div>

Data Engineer – Cloudera

<div>Location: Riyadh, KSA. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Nationalities: Saudi nationals. 
We are seeking a Saudi National Data Engineer &ndash; Talend to support the ongoing operations, maintenance, and optimization of existing Talend ETL/ELT pipelines. The role will focus on ensuring reliable data integration, troubleshooting pipeline issues, maintaining data quality, and supporting deployment and operational activities to ensure the stability and performance of enterprise data integration platforms.<h2 class="jobSectionHeader">
Key Requirements</h2><ul><li>
Saudi National.</li><li>
Proven experience working with Talend ETL/ELT tools and data integration solutions.</li></ul><h2 class="jobSectionHeader">
Other Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</li><li>
Strong analytical and troubleshooting skills.</li><li>
Excellent documentation and reporting capabilities.</li><li>
Ability to manage multiple operational activities in a production support environment.</li></ul><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Monitor, maintain, and support Talend ETL/ELT pipelines to ensure reliable and timely data integration.</li><li>
Track job executions and resolve ETL failures, operational incidents, and performance issues.</li><li>
Perform root cause analysis and implement corrective actions to improve platform reliability.</li><li>
Resolve data quality, reconciliation, and integration issues while ensuring compliance with service level agreements.</li><li>
Develop and implement minor enhancements, workflow improvements, and performance optimizations for existing ETL processes.</li><li>
Support deployment activities and production releases for Talend jobs and workflows.</li><li>
Manage operational incidents through ticketing systems and ensure timely issue resolution.</li><li>
Ensure compliance with data governance, security, and operational standards.</li><li>
Maintain technical documentation, operational procedures, and support runbooks.</li><li>
Collaborate with data engineering, infrastructure, and governance teams to ensure stable, secure, and efficient data integration operations.</li></ul></div>

Data Engineer – Talend

Mirai, a Scopely company

<div>
 Our Generative AI products are only as good as the data behind them. This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics. The work runs on AWS, and the aim is a single governed source that every consumer can rely on.
 
 
 We want someone who has already built data pipelines for AI systems, not only for reporting. Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before. The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage
 </li>
 <li>
 Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes
 </li>
 <li>
 Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic
 </li>
 <li>
 Add quality checks, validation, and monitoring so problems surface before they reach a model or a user
 </li>
 <li>
 Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows
 </li>
 <li>
 Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services
 </li>
 <li>
 Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads
 </li>
 <li>
 Review code, write the documentation, and help shape how the team builds its data layer
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Eight or more years in data engineering overall. That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background
 </li>
 <li>
 Strong SQL and strong Python, including PySpark or similar distributed processing
 </li>
 <li>
 Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse
 </li>
 <li>
 Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated
 </li>
 <li>
 Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors
 </li>
 <li>
 Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium
 </li>
 <li>
 Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer
 </li>
 <li>
 Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus
 </li>
 <li>
 Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi
 </li>
 <li>
 Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps
 </li>
 </ul>
</div>

Senior Data Engineer

SiFi

<div>
 
 
 About Us
 
 
 
 
 We are building the next-generation Office of the CFO that simplifies finance for all businesses.
 
 
 
 SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.
 
 
 
 As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.
 
 
 
 
 About the Role
 
 
 
 
 We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform.
 
 
 
 You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.
 
 
 
 This is a high-ownership role focused on building financial data infrastructure from first principles.
 
 
 
 This role is based in Saudi Arabia (Relocation).
 
 
 
 
 
 
 
 What You Will Own
 
 
 
 
 
 Data Modeling and Standards
 
 
 
 <ul>
 <li>
 Define and maintain scalable data models in SQL
 
 </li>
 <li>
 Establish structured warehouse layers and modeling best practices
 
 </li>
 <li>
 Own KPI definitions and ensure a single source of truth
 
 </li>
 <li>
 Ensure financial correctness and metric consistency
 
 </li>
 </ul>
 
 
 Warehouse Architecture
 
 
 
 <ul>
 <li>
 Design and evolve our cloud data warehouse in BigQuery
 
 </li>
 <li>
 Own transformation workflows using dbt, SQLMesh, or similar tools
 
 </li>
 <li>
 Optimize performance, reliability, and cost
 
 </li>
 <li>
 Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.
 
 </li>
 </ul>
 
 
 Reliability and Governance
 
 
 
 <ul>
 <li>
 Ensure data quality, integrity, and observability
 
 </li>
 <li>
 Implement access controls aligned with compliance requirements
 
 </li>
 <li>
 Build a scalable foundation ready for advanced analytics and AI
 
 </li>
 </ul>
 
 
 Cross-Functional Impact
 
 
 
 <ul>
 <li>
 Translate business requirements into robust data systems
 
 </li>
 <li>
 Enable trusted reporting and BI across teams
 
 </li>
 <li>
 Support experimentation and AI-driven initiatives with well-structured datasets
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 What We Are Looking For
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or Analytics Engineering
 
 </li>
 <li>
 Strong SQL expertise with hands-on data modeling experience
 
 </li>
 <li>
 Experience with cloud data warehouses such as BigQuery
 
 </li>
 <li>
 Experience with modern transformation frameworks such as dbt or SQLMesh
 
 </li>
 <li>
 Experience building or supporting production-grade AI/ML pipelines is a strong plus
 
 </li>
 <li>
 Ability to operate independently in a fast-moving startup
 
 </li>
 <li>
 Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes
 </li>
 </ul>
</div>

Senior Data Engineer (Data & AI)

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272 data engineer jobs In Riyadh

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Senior Data Engineer (Data & AI)