data lead

PROZ TECHNOLOGIES

<p>Hello,<br/>Greetings from Proztec Qatar! I hope everything is going well with you.</p><p>We are thrilled to extend multiple exciting job opportunities, and currently, we are hiring for the role of <b>Data Lead </b> with one of our prestigious clients in Qatar. Below, you will find details of the role, key responsibilities, and requirements.</p><p><b>JOB OVERVIEW</b></p><p><b>JOB TITLE : Data Lead</b></p><p><b>LOCATION : </b> Doha, Qatar</p><p><b>GENERAL JOB DESCRIPTION</b></p><p>&middot; Lead TASMU Platform&rsquo;s Data Governance, Data Management and Data acquisition and Data ingestion functions</p><p>&middot; Manage, protect and analyze the data collected and generated by the organization</p><p>&middot; COordinate the Data Team to ensure the respect of the data privacy &amp; security standards</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><p>&middot; Oversee the collection, management, and storage of data across TASMU Platform</p><p>&middot; Set the overall data management and governance strategy of every channel</p><p>&middot; Define the data acquisition strategy making sure that data is sanitized, elaborated and packaged in order to maximize its utilization.</p><p>&middot; Ensure data escalation, resolution, integration &amp; development in compliance with the data privacy &amp; security standards</p><p>&middot; Coordinate and manage a team of data architects, data engineers and data scientists (internal) teams to promote the power of data in TASMU Platform (external)</p><p>&middot; Take responsibility for the data integration corresponding to customer onboarding and for creating data sharing agreements with the potential customers</p><p>&middot; Drive project and operational decisions related to data - along with OC leadership, TASMU platform team, service providers and sectors within the Smart Qatar ecosystem</p><p>&middot; Participate and take an active role in Smart Qatar data governance forums and committees</p><p>&middot; Drive the ongoing evolution of the TASMU data architecture and data management capabilities throughout the entire products/smart solutions lifecycle in any channel of the Platform</p><p><b>SKILLS &amp; ABILITIES</b></p><p>&middot; Experience in the field of data governance, enterprise data management, business intelligence and advanced analytics preferably in the ICT sector or Smart City/Platform-driven projects</p><p>&middot; Ability to outline clear directives to a team of data experts in a collaborative manner</p><p>&middot; Proven track record of ensuring a sstrategic and business-oriented perspective of data management and monetisation</p><p>&middot; Technical brainpower to assess and review data management capabilities</p><p>&middot; Proven leadership and execution experience in large programs with multiple stakeholders</p><p>&middot; Expertise in big data engineering, cloud data platform (preferably Azure), ML/AI concepts and techniques, data architecture and data governance domains (MDM, Data quality, data security, data integration etc.)</p><p>If you are interested and ready to proceed, kindly share your CV in Word format along with the following details:</p><p>Name:</p><p>Nationality:</p><p>Total Experience:</p><p>Relevant Experience:</p><p>Current Location:</p><p>Visa Status:</p><p>Current Salary:</p><p>Expected Salary:</p><p>Notice Period:</p><p>About Proztec:<br/>Proz Technologies (PROZTEC) is a leading ICT specialist firm based in Doha, Qatar (a tax-free country) with over 300 employees. We look forward to the possibility of welcoming you to our growing team.</p><p>Thanks &amp; regards,<br/>Syeda Humera<br/>Recruitment Consultant<br/>Proz Technologies<br/>M: 974-70955929<br/>P: 974-4442-0050 Ext: 109<br/>www.proztec.com</p><p>Job Type: Permanent</p><p>Pay: QAR15,000.00 - QAR20,000.00 per month</p>

Data Lead

ERCOT/Electric Reliability Council of Texas

<div><div><div>At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow&rsquo;s energy challenges while learning new skills and growing your career.</div><div></div><div>
ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.</div></div><div></div><div>
JOB SUMMARY</div><div>
The Test Environment &amp; Data Lead is accountable for the governance, stability, and continuous improvement of all non-production test environments to ensure secure, compliant, and release-ready systems.</div><div></div><div>
This role oversees end-to-end environment lifecycle management, including configuration control, test data governance, environmental use and data refreshes. The lead ensures alignment with Quality Assurance and Release &amp; Change Management standards to minimize operational, product, and data-related risks.</div><div></div><div>
In addition, this role is responsible for maintaining data integrity and consistency across environments by coordinating controlled test data refresh cycles, validating post-migration data accuracy, and ensuring compliance with data privacy, security, and regulatory requirements. Close collaboration with Database, Infrastructure, and Security teams is required to ensure environments are production-representative, audit-ready, and optimized for consistent, reliable, and predictable testing outcomes.</div><div></div><div>
The Environment &amp; Test Data lead serves as a critical quality and data control point, safeguarding both system stability and data accuracy across the non-production landscape.</div><div></div><div>
JOB DUTIES</div><ul><li>
Broadly applies principles, theories and concepts related to the profession. A seasoned, experienced professional with an in-depth/full understanding of area of specialization.</li><li>
May provide recommendations regarding issues outside the bounds of defined procedures and practices. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.</li><li>
Wide latitude for decisions within assignments, programs and projects; impact is generally limited to the project or department.</li><li>
Acts as a resource to advise and may at times lead the work of lower level professional and/or support employees. Generally represents the department on projects and may perform in a project leadership role.</li></ul><div></div><div>
ADDITIONAL JOB DUTIES</div><ul><li>
Own lifecycle management of Test and Pre-Prod environments</li><li>
Maintain environment configuration baselines and version inventory</li><li>
Ensure environment readiness before test cycles</li><li>
Coordinate provisioning, upgrades, and patching with platform teams</li><li>
Monitor environment stability, availability, and performance</li><li>
Manage environment scheduling and conflict resolution</li><li>
Prevent version drift between QA and Production</li><li>
This position will be responsible for executing on the QA Test Data Management strategy and roadmap</li><li>
This person will work closely with Release Management, the PMO, Application Services, and other IT areas in design and implementation of an enterprise test data repository to be used as source of test data for application development testing</li><li>
This position will also be responsible for planning, scheduling and communicating test system refreshes, time-sliced data refreshes, on-demand test data requests and coordinating with appropriate IT areas for corresponding virtual test environments as needed</li><li>
This position requires a highly motivated individual who will leverage his/her technical and business expertise to help ensure test data and test environment objectives, goals and requirements are delivered according to stakeholder expectations</li><li>
The individual must be able to work independently and communicate with all levels of management in a timely and accurate manner</li><li>
Responsible for defining the test data management architecture and tool strategies</li><li>
Responsible for delivery, process implementation and oversight of a newly formed Test Data Management service within the QA and Test Management Department</li><li>
Manage and establish service levels for the TDM shared service, including transparency through reporting and valuation of service</li><li>
Coordinate work of highly decentralized business application teams while implementing demand management operating models that proactively sources and manages test data on multiple concurrent projects</li><li>
Implement methodologies for automated test data generation, test reusability and data privacy</li><li>
Responsible for building and maintaining a central repository of test data and test environment models across multiple lines of business</li><li>
Responsible for defining and implementing the scope of a releases test environment and test data needs</li><li>
Accountable for the maintenance and implementation of the policy framework for ERCOT&rsquo;s Test Data and Environment capabilities</li><li>
Responsible for developing process of maintaining gold copy of test data sets for programs, projects and releases</li><li>
Accountable for department operating procedures, processes and adherence to corporate standards</li><li>
 Accountable for communication with stakeholders and management</li><li>
Accountable for adherence to audit and compliance standards regarding QA practices</li><li>
Accountable for identifying and implementing process improvements in alignment with ERCOT&rsquo;s testing framework</li><li>
Manage, mentor and coach staff on test data and test environment principles and practices</li><li>
Develop and publish KPIs to communicate delivery practices for test data and test environments</li><li>
Responsible for maintaining knowledge of emerging trends and industry best practices</li><li>
Ability to support multiple streams of projects of varying complexity</li><li>
Ability to create and meet timelines cognizant of business needs and constraints</li><li>
Strong leadership, communication, negotiation, and conflict management skills</li><li>
Highly self-motivated, driven work ethic, keen attention to detail and exceptional customer service orientation</li><li>
Ability to communicate highly technical information in an understandable manner to non-technical audiences through writing and presentations</li></ul><div></div><div>
EXPERIENCE</div><ul><li>
Requires minimum 8+ years in IT operations, QA operations, or release management.</li><li>
3+ years managing non-production environments and test data.</li><li>
Experience in system design, programming and troubleshooting with relational databases (e.g., Oracle and SQL Server)</li><li>
Experience with version control, deployments, and migration governance.</li><li>
Strong understanding of SDLC, STLC, and change management.</li><li>
Experience in cloud or hybrid environments.</li><li>
Demonstrated project management experience managing implementations of new enterprise-wide technology initiatives</li><li>
Experience with service virtualization technologies</li><li>
Proven track record of effectively working in a highly collaborative environment</li><li>
Detailed work experience and knowledge of application integration of DevOp and QA tools used for provisioning test data and test environments</li><li>
Familiarity with AI-based environment monitoring or anomaly detection.</li><li>
Experience leveraging automation for deployment validation.</li><li>
Understanding predictive analytics for environment capacity or failure detection.</li><li>
Exposure to synthetic test data generation tools (preferred).</li></ul><div></div><div>
Technical Skills</div><ul><li>
CI/CD tools (Azure DevOps, Jenkins, GitHub, etc.)</li><li>
Infrastructure as Code (Terraform, ARM, etc.)</li><li>
Monitoring/observability platforms (Splunk, Dynatrace)</li><li>
Management tools (ServiceNow, JIRA , Qtest, etc.)</li><li>
Other tools (Ansible, Rubric, AppSync)</li></ul><div></div><div>
EDUCATION</div><div>
Bachelor's Degree: Computer Science, MIS or related field (Required) or a combination of education and experience that provides equivalent knowledge to a major in such fields is required</div><div></div><div>
ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law.</div><div></div><div>
Expected Salary Range:</div>
$122,262 - $207,828</div>

QA Environment & Data Lead

Engineers & Constructors International

<div>Join the ECI Group's Professional Technical Services Network as a contract<i> </i><b><i>IT Data Engineering (Data Lead) - Trading &amp; Supply (Crude &amp; Products)</i></b><i>. </i>This is a Houston based contract role with an anticipated April 2, 2026 start date and ending on December 30, 2029.<br>
<br>
<b><i>NOTE: You must be a US Citizen or Permanent US resident to qualify for the position.</i></b><br>
<br>
Our client (Shell Trading &amp; Supply) is seeking an experienced <b><i>IT Data Lead</i></b> to help shape data strategy and deliver key analysis and design inputs supporting a major ETRM transformation initiative. In this role, you&rsquo;ll act as a subject matter expert across multiple IT systems/domains, partnering with stakeholders to drive pragmatic, high-impact data and solution decisions.<h2 class="jobSectionHeader">
About the role</h2>
Data Strategy, analysis and design deliverables are aimed to be completed as inputs to GIP (could initially be a p/t role - this needs further discussion and alignment). As the IT Data Lead you will:
<ul><li>Lead data strategy, analysis, and design deliverables to enable downstream project execution.</li><li>
Provide functional and technical support on moderately complex applications and infrastructure to experienced colleagues.</li><li>
Operate independently&mdash;setting priorities, driving clarity, and delivering outcomes with minimal oversight.</li><li>
Serve as a subject matter expert (SME) across multiple IT systems/domains, advising on best practices and optimal platform usage.</li><li>
Identify improvement opportunities and recommend practical enhancements to data/process/technology approaches.</li></ul><h2 class="jobSectionHeader">
Project context</h2><b>
Portfolio:</b> Downstream &amp; Renewables IDT Trading &amp; Supply (Crude &amp; Products)<br>
<b>Project:</b> Chloe (Products ETRM) &mdash; replacement of DEX to deliver ETRM transformation<br>
<b>Current business applications:</b> Endur Products, DEX<h2 class="jobSectionHeader"><b>
__PRESENT</b><br>
<b>Business Application:</b><b> Endur Products, DEX</b><br>
<b>Project Type:</b><b> IT Project</b><br>
<b>Project Class: </b><b>| Agile Facilitation - Skill, Data Excellence - Skill, Project Planning &amp; Tracking - Skill</b><br>
<br>
Qualifications</h2><b>
Required (must-have):</b><ul><li>
crude</li><li>
ETRM transformation</li><li>
Openlink Endur</li><li>
Trading &amp; Supply</li></ul><b>
Preferred (nice-to-have):</b><ul><li>
Experience defining and governing data strategy for large-scale transformations.</li><li>
Strong stakeholder management skills across business and IT teams in Trading &amp; Supply environments.</li><li>
Hands-on familiarity with Agile delivery practices and cross-functional collaboration.</li></ul><h2 class="jobSectionHeader">
Work location &amp; schedule</h2>
This is an <b>onsite</b> role based in <b>Houston, TX</b>. Standard schedule is <b>40 hours/week</b>. Weekly paid travel is <b>not</b> provided.<br>
<br>
Submit your resume highlighting relevant Trading &amp; Supply, ETRM transformation, and Endur/DEX experience. Please include a brief summary of comparable delivery work and your key systems/tools experience.<br>
<br>
<b><i>Please Note: The ECI Group uses AI‑assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group&rsquo;s applicable data protection policies and Privacy Notice.</i></b><p>
</p><p>HYsc8Fw0kd</p></div>

IT Data Lead Engineer | Trading and Supply

Capgemini

<div><div><div><p>Cairo</p><div>
Data Migration Lead</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><div>Role Overview</div></div><div><p>
We are looking for a skilled ETL &amp; Data Migration Manager with strong hands-on experience in data quality assurance to join our team.
<br>
You will play a key role in leading the data migration, designing, developing, and validating data migration processes for enterprise systems, ensuring accuracy, consistency, and compliance throughout the migration lifecycle.</p></div></div><div><div><div>
Your Role</div></div><div><ul><li>
Design, develop, and optimize ETL workflows
</li><li>Perform data extraction, transformation, and loading from multiple source systems like SAP/4HANA.</li><li>
Implement data validation and QA checks to ensure completeness, accuracy, and compliance with business rules.</li><li>
Conduct test migrations, simulations, and reconciliation to validate data integrity.</li><li>
Troubleshoot and resolve ETL issues, ensuring timely delivery of migration waves.</li><li>
Document processes, maintain audit logs, and support governance and compliance requirements.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
9+ years of experience in ETL development and data migration projects.</li><li>
Extensive experience in team management.</li><li>
Proficiency in ETL tools (Informatica, Talend, SSIS, etc.).</li><li>
Strong SQL skills for data profiling, transformation, and validation.</li><li>
Hands-on experience in data quality assurance, including validation scripts and reconciliation.</li><li>
Familiarity with SAP S/4HANA migration or similar ERP systems is a plus.</li><li>
Knowledge of data governance, change control, and compliance frameworks.</li><li>
Strong problem-solving skills and ability to work in a fast-paced environment</li></ul></div></div></div><p>
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.<br>
Make it real | www.capgemini.com</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
359221-en_US</div></div><div><div>
Posted on</div><div>
02 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Migration Lead

National Bank of Bahrain

<div>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role holder is responsible for establishing and institutionalizing the Bank&rsquo;s enterprise data governance framework, ensuring clear data ownership, stewardship, accountability, and control across all critical systems and data domains. The role holder will define and formalize data ownership structures across business and technology platforms, ensuring that every critical data element has a clearly assigned owner and steward. The role is accountable for governing the creation and use of data reports including departmental reports to ensure alignment with the approved &ldquo;single source of truth&rdquo; and prevent fragmented or uncontrolled data usage. This role operates at driving cross-functional alignment, enforcing governance standards, and ensuring that data assets are accurate, controlled, reconciled, and fit for business, financial, and regulatory reporting purposes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Ownership &amp; Accountability Framework
  </strong>
 </p>
 <ul>
  <li>
   Establish and maintain a formal Data Ownership and Data Stewardship framework across all key banking systems and data domains.
  </li>
  <li>
   Define and document accountability for Critical Data Elements (CDEs), ensuring business owners formally accept responsibility for data accuracy and integrity.
  </li>
  <li>
   Ensure ownership structures are embedded within operational processes and governance forums.
  </li>
  <li>
   Escalate unresolved data ownership gaps to relevant governance committees.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Governance &amp; Compliance
  </strong>
 </p>
 <ul>
  <li>
   Support and coordinate the implementation of the bank&rsquo;s Data Governance framework, guiding teams to consistently apply governance policies across relevant data domains.
  </li>
  <li>
   Support regulatory readiness by ensuring data used for reporting aligns with supervisory guidelines.
  </li>
  <li>
   Collaborate with different stakeholders to capture and refine data requirements linked to reporting, analytics, and regulatory needs.
  </li>
  <li>
   Facilitate workshops to formalize data definitions, data usage boundaries, and Critical Data Element prioritization, ensuring alignment across departments.
  </li>
  <li>
   Provide structured analysis bridging business requirements and technical data structures, enabling accurate and consistent data consumption across systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Modeling &amp; Architecture
  </strong>
 </p>
 <ul>
  <li>
   Oversee the development and maintenance of conceptual, logical, and physical data models across assigned banking domains (e.g., retail, corporate, risk, finance, treasury).
  </li>
  <li>
   Ensure models adhere to established enterprise data standards, naming conventions, and modeling methodologies.
  </li>
  <li>
   Ensure data models support large-scale, high-accuracy financial calculations and reconciliations that align with regulatory, statutory, and internal reporting requirements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Quality, Controls &amp; Assurance
  </strong>
 </p>
 <ul>
  <li>
   Define and operationalize Data Quality control frameworks, including profiling, validation rules, exception workflows, and remediation cycles.
  </li>
  <li>
   Lead cross‑functional efforts to resolve data issues, including root‑cause analysis, corrective actions, and long‑term data‑quality improvements.
  </li>
  <li>
   Maintain oversight of reconciliation processes across financial, operational, and regulatory data pipelines to ensure consistent, trusted data outputs. Support Model Implementation &amp; Delivery.
  </li>
  <li>
   Partner with data engineering to ensure models are correctly implemented in databases and reporting systems.
  </li>
  <li>
   Participate in system testing, UAT, and validation of data migrations and new product implementations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in in Finance, Data Analytics, Computer Science, Information Systems, or in any other subject or equivalent is required.
  </li>
  <li>
   Master&rsquo;s degree in Finance, Data Analytics, Computer Science, Information Systems, or a related field is preferred.
  </li>
  <li>
   Professional qualification in related subjects to Data Analytics, Computer Science, Data Governance is preferred.
  </li>
  <li>
   Minimum 3-4 years of practical experience in a bank or same or similar function.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Governance Lead

EVA pharma

<div>
 <p>
  Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
  <br/>
 </p>
 <p>
  Job Summary:
 </p>
 <p>
  We are seeking a passionate and talented
  <strong>
   Data Engineer Senior Lead
  </strong>
  to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
  <br/>
  <br/>
  <br/>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near-real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently
  </li>
  <li>
   Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility
  </li>
  <li>
   Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models
  </li>
  <li>
   Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments
  </li>
  <li>
   Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
  </li>
  <li>
   7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role
  </li>
  <li>
   Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use
  </li>
  <li>
   Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems
  </li>
  <li>
   Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks
  </li>
  <li>
   Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities
  </li>
 </ul>
</div>


Senior Data Engineer Lead

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p>
Job Summary:
</p><p>We are seeking a passionate and talented <b>Data Engineer Senior Lead</b> to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.<br>
<br>
<b>Key Responsibilities:</b></p><ul><li>
Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near&ndash;real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently.</li><li>
Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility.</li><li>
Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models.</li><li>
Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments.</li><li>
Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution.</li></ul><br>
<b>
Requirements</b><br>
<p></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role.</li><li>
Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use.</li><li>
Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems.</li><li>
Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks.</li><li>
Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities.</li></ul></div>

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