Lead Field Engineer - Pipeline Job at Lobellia (Abu Dhabi)

Data Engineering Lead

Embark on an exciting journey into the realm of software product development wit...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Engineering or related field, including 2+ years in a lead role
Expert-level proficiency with AWS data services (e.g., Glue, EMR, Lambda, Redshift, S3, Kinesis, Step Functions)
Strong Python skills for data processing, automation, and pipeline development
Experience building batch and streaming pipelines (Spark, PySpark, Kafka, Kinesis, etc.)
Strong SQL expertise and experience with relational and NoSQL databases
Hands-on experience with IaC (Terraform, CloudFormation, CDK)
Familiarity with DevOps tools for CI/CD (e.g., GitHub Actions, GitLab CI, Jenkins)
Understanding of data modeling, data warehousing concepts, and distributed systems

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related fields
Extensive experience in writing and testing Java and/or Python
Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks is highly desirable
Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions
Hands-on experience with ETL processes, data warehousing, and data modeling tools
In-depth knowledge of data integration tools and best practices
Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong strategic and analytical skills

Job Responsibility

Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges
Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures
Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery
Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field
Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation

Sales Engineering Lead

EvoluteIQ is seeking a Sales Engineering Lead to drive pre-sales and sales engin...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

8–10 years of experience in pre-sales, solution engineering, or consulting for enterprise software, automation, or AI-driven platforms
Hands-on knowledge of process automation, AI/ML, data integration, API orchestration, or low-code/no-code environments
Experience collaborating with global channel partners, system integrators, or technology alliances
Familiarity with one or more BPM (Appian, Pega, Camunda), LCAP (Outsystems, Mendix) and automation stacks (e.g., ServiceNow, UiPath, Power Automate, Blue Prism, MuleSoft) and cloud platforms (AWS, Azure, or GCP), as well as Agentic AI and Generative AI technologies
Proven ability to connect technical capabilities with business outcomes and present to C-suite stakeholders
Strong communication, executive presentation, and solution storytelling abilities
Strategic thinker with the ability to influence joint go-to-market initiatives and co-create customer success outcomes
Bachelors or Masters degree in computer science, Engineering, or a related field
MBA preferred but not mandatory

Job Responsibility

Lead all technical pre-sales engagements for new opportunities, from discovery, requirement scoping, and solution design to technical validation, proposal creation and proof-of-concept delivery
Collaborate with business, sales, and technical teams to understand customer objectives and expand solution footprints
Translate business objectives and challenges into robust technical architectures and solution proposals that clearly articulate value, ROI, and platform differentiation
Design and deliver customized product demonstrations, solution architectures, and joint proof-of-concepts highlighting the EIQ platform’s unified automation capabilities
Coordinate for partner enablement workshops and provide ongoing knowledge transfer to enhance Eguardian’s sales and delivery maturity
Serve as a solution advisor by identifying and shaping new Agentic Automation use cases leveraging AI, ML, RPA, and orchestration
Act as a technical liaison between EvoluteIQ’s product, engineering, and partner management teams to ensure solution scalability and roadmap alignment
Design and present compelling solution demos, proofs of concept (POCs), and architecture blueprints tailored to client industries (banking, healthcare, insurance, telecom)
Build reusable demo assets, templates, and solution accelerators to support repeatable GTM success
Partner with Delivery teams to ensure a seamless handover from pre-sales to implementation

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Systems Engineering Lead

My client are seeking a highly skilled and motivated Cloud Technical Lead with a...

Location

Ireland , Dublin 1

Salary:

Not provided

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, or related field
8 years of experience in cloud engineering, with a strong background in designing and deploying cloud solutions
Expertise with Kubernetes, including hands-on experience in managing and orchestrating containerized applications
Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud, and related services (e.g., EC2, S3, Lambda, GKE, AKS)
Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
Experience with multi-cloud environments and hybrid cloud architecture
Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or others
Knowledge of container registries and service meshes (e.g., Istio, Linkerd)
Experience with Agile development methodologies and working in a DevOps culture
Strong proficiency in scripting and automation tools (e.g., Python, Bash, Ansible)

Job Responsibility

Lead the design and implementation of scalable, reliable, and cost-efficient cloud-based solutions using AWS, Azure, Google Cloud, or other cloud platforms
Drive the adoption of Kubernetes and containerization best practices for microservices architecture, including the orchestration, deployment, and management of Kubernetes clusters
Provide technical leadership and mentorship to a team of cloud engineers, ensuring adherence to cloud engineering best practices
Collaborate with software developers, DevOps engineers, and other teams to implement cloud-native applications, automation, and CI/CD pipelines
Ensure cloud infrastructure is secure, resilient, and meets compliance requirements, working closely with security teams to mitigate risks
Optimize cloud infrastructure performance and costs, providing recommendations for improvements and helping track usage
Troubleshoot and resolve technical issues related to cloud infrastructure, Kubernetes clusters, and services
Participate in architecture and design reviews to ensure solutions meet high availability, disaster recovery, and scalability requirements
Stay up to date with the latest cloud technologies, trends, and innovations, and propose enhancements to the cloud infrastructure strategy
Ensure proper documentation of cloud systems, architectures, and processes

Lead Field Engineer - Pipeline

Lobellia

Location:
United Arab Emirates , Abu Dhabi

Category:
Energy

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 15, 2026

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Lead Field Engineer - Pipeline

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Location:United Arab Emirates , Abu Dhabi

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Job Posted:January 15, 2026

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United Arab Emirates , Abu Dhabi

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Contract Type:
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Job Posted:
January 15, 2026