Azure Data Engineer- Lead Consultant Job at Lingaro

Azure Data Engineer - Lead Consultant

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

A bachelor's or master’s degree in computer science, Information Systems, or a related field is typically required
Additional certifications in cloud are advantageous
Minimum of 6+ years of experience in data engineering or a related field
Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
Experience in profiling tool such as Pandas
Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake, Azure SQL etc., and experience in implementing data solutions in a cloud environment
Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines

Job Responsibility

Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment
Set clear goals, assign tasks, and manage resources to ensure successful project delivery
Work closely with developers to support them and improve data engineering processes
Support team members with troubleshooting and resolving complex technical issues and challenges
Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies
Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards
Collaborate with stakeholders to understand project requirements, define scope, and create project plans
Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
Monitor progress, identify risks, and implement mitigation strategies
Act as a trusted advisor for the customer

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Technical Support Engineer - Azure Data Factory / Data Integration

Within CE&S, the Customer Service & Support (CSS) organization builds trust and ...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 1+ years of technical support, technical consulting experience, or information technology experience
OR 3+ years of technical support, technical consulting experience, or information technology experience
OR equivalent experience
Azure Data Factory (ADF)
Azure Synapse Analytics / Microsoft Fabric Pipeline
Data Lake
Relational Database Management System (Microsoft SQL Server / Oracle Database / MySQL / IBM Db2 / SAP)
Big Data or Analytics Products (Spark / Azure HDInsight / Azure Data Lake Analytics / Azure Synapse Analytics / Databricks / Google BigQuery)
Pipeline and ETL/ELT Skills
Building and orchestrating pipelines (ADF / Synapse / Fabric)

Job Responsibility

Response and Resolution: You own, investigate and solve customer technical issues. You collaborate within and across teams, leveraging troubleshooting tools and practices
Readiness: You lead or participate in building communities with peer delivery roles and, where appropriate, share your knowledge
You develop specific technical and professional proficiency to enable you to resolve customer issues, through training and readiness
Product/Process Improvement: You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements

Fulltime

Data Engineer – Lead

Location

India , Bengaluru Urban

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Pipelines, Dataflows Gen2, Notebooks, and Power BI integration
Expertise in ETL/ELT, data pipelines, distributed data processing, and cloud-scale data engineering
Strong SQL, Python, PySpark, and data modeling skills
Experience with Lakehouse, Warehouse, and Medallion Architecture
Understanding of Delta tables, dimensional modeling, star schema, facts, dimensions, and curated analytical datasets
Experience integrating structured, semi-structured, file-based, API-based, enterprise application, and cloud data sources
Experience with data quality, reconciliation, logging, monitoring, and error-handling frameworks
Experience leading technical teams and coordinating onshore/offshore delivery
Experience with Git, CI/CD, Azure DevOps, branching, code reviews, and release management
Good to Have: Experience with Azure Data Factory, Synapse, Databricks, ADLS Gen2, Azure SQL, Microsoft Purview, or related Azure services

Job Responsibility

Lead the design and implementation of scalable data pipelines and data processing frameworks in Microsoft Fabric
Define data engineering standards, development practices, naming conventions, coding guidelines, and reusable technical patterns
Lead implementation of Bronze, Silver, and Gold layers in the Medallion Architecture
Oversee ingestion, transformation, orchestration, validation, and publication of data from multiple enterprise, clinical, operational, and cloud-based sources
Guide development of Fabric Pipelines, Dataflows Gen2, Notebooks, Lakehouse tables, Warehouse objects, and curated datasets
Ensure scalability, performance, reliability, maintainability, security, monitoring, and optimization of data solutions
Define standards for data quality, reconciliation, logging, error handling, auditability, and lineage
Conduct technical design reviews, code reviews, performance reviews, and deployment readiness reviews
Mentor and guide data engineering teams across onshore/offshore locations
Collaborate with architects, platform engineers, BI teams, QA teams, AI/ML teams, functional consultants, and stakeholders

Staff/Senior Software Consultant - Data Engineer

We are hiring for a Senior Data Engineer at 10Pearls responsible for designing, ...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

5+ years of professional data engineering experience, including ownership of production pipelines that other teams depended on
ETL / ELT: deep experience with Airflow (DAG design, sensors, retries, backfills) and Airbyte (or equivalents like Fivetran, Meltano, or custom connectors)
Data warehousing: strong hands-on experience with Snowflake and/or BigQuery, including performance tuning, partitioning/clustering, and cost optimization
Transactional databases: solid SQL Server experience covering schema design, indexing, query tuning, and CDC patterns
Real-time data: production experience with Firebase / Firestore or comparable real-time stores, and at least one streaming or message-bus technology (Kafka, Azure Service Bus, Pub/Sub, Kinesis)
Programming: advanced SQL plus strong Python for data engineering
comfortable building reusable, tested, well-documented code
Modeling: fluency with dimensional and modern warehouse modeling, and with transformation frameworks such as dbt
Cloud storage: hands-on experience with Azure Storage (Blob/ADLS)
comfort with AWS S3 or GCS is a plus

Job Responsibility

Analyze large, complex datasets to extract key insights that inform strategic decision-making
Develop and maintain data models, dashboards, and reports to support business objectives
Apply statistical techniques and predictive modeling to drive business forecasts and performance analysis
Collaborate with data consultant teams to build scalable, reliable data pipelines and optimize data flows
Ensure data quality and integrity through best practices in data governance and validation processes
Partner with cross-functional teams (engineering, product, marketing) to understand data requirements and deliver customized insights
Present findings and actionable recommendations to senior leadership and non-technical stakeholders
Lead, mentor, and provide guidance to junior data analysts and team members
Manage multiple data projects, prioritize deliverables, and meet tight deadlines with high quality output
Implement CI/CD pipelines and version control for data workflows to ensure seamless deployment and collaboration

Fulltime

Lead Data Engineer

We’re looking for a highly skilled Lead Data Engineer to provide technical leade...

Location

United Kingdom

Salary:

70000.00 GBP / Year

Zebra People

Expiration Date

Until further notice

Requirements

Strong consultancy background across ETL/ELT, data warehousing and big‑data solutions
hands‑on delivery experience
proven leadership/mentoring in an onshore–offshore model
Proficiency with ETL tools and cloud data services (AWS preferred — e.g., Glue
with exposure to Azure Data Factory)
experience implementing CI/CD for data
knowledge of Informatica tools is beneficial
Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake
strong SQL capability
working knowledge of Python/PySpark

Job Responsibility

Provide technical leadership across data engineering, delivery execution and project governance
Interpret detailed technical requirements and deliverables across multiple projects
Act as subject‑matter expert in data‑engineering technologies
Contribute to effective solution design
Mentor, support and guide developers
Balance involvement across various initiatives to provide direction, technical leadership and oversight

Fulltime

Team Lead - Data Engineer

Looking for stable projects with modern tech and room to grow? We are Clouds on ...

Location

Poland , Warsaw

Salary:

Not provided

Clouds on Mars Sp. z o. o.

Expiration Date

Until further notice

Requirements

5+ years of experience delivering data engineering solutions in a consulting or multi-client project environment
Strong technical expertise with the Microsoft Azure ecosystem (Data Factory, Synapse, Fabric), Databricks, and Power BI
Solid background in ETL/ELT design, data integration, data modeling, and performance optimization
Proven people management experience, including performance evaluation, coaching, and career development
Excellent communication skills and ability to engage with both technical and business stakeholders
Fluency in English and Polish

Job Responsibility

Design and deliver scalable ETL/ELT pipelines, data models, and reporting solutions using technologies such as Azure Data Factory, Synapse, Fabric, Databricks, and Power BI
Architect modern data platforms (data warehouse, data lake, or lakehouse) with performance, scalability, and reliability in mind
Collaborate with technical stakeholders to translate business requirements into robust, production-ready data solutions
Contribute to CI/CD processes, code quality standards, automated testing, and documentation
Act as a senior technical contributor across one or more client projects in a consulting setting
Act as direct people manager for a team of data engineers, responsible for performance reviews, development planning, and career coaching
Conduct regular 1:1s, provide feedback, and support skills growth through mentoring and learning opportunities
Balance and allocate team members across multiple projects, ensuring workload clarity and capacity planning
Foster a healthy, collaborative team culture by promoting open communication, continuous improvement, and psychological safety
Monitor team morale and resolve delivery blockers that affect individual or team performance

What we offer

Flexible working hours
Private health insurance (UNUM up to PLN 350,000, advanced up to PLN 500,000)
Co-funding for PZU, Medicover or LuxMed medical packages
Multisport card
Access to training platforms (MS certificates, SQL BI, internal Delivery Excellence Workshops)
Breakfasts, fruit, snacks, and always-chilled drinks in the office
Anniversary gifts and quarterly integration budgets
Paid referral program (up to PLN 8,000)
„It’s good to stay with us” – PLN 2,500 voucher after 3 years with the company

Fulltime

Principle Azure Data Solution Engineer

Are you curious, passionate about infrastructure, and ready to solve complex cha...

Location

Canada , Toronto

Salary:

128000.00 - 222400.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 6+ years technical pre-sales or technical consulting experience OR equivalent experience
Proficiency in designing and delivering modern, governed data platforms using Microsoft Fabric (OneLake, Lakehouse, DW, BI), Azure Databricks, Azure SQL and OSS databases, data engineering pipelines, and Purview
Solid technical foundation designing and modernizing Cloud & AI solutions on Azure
Ability to lead technical migration and modernization discussions
Experience influencing technical decision makers
Solid understanding of hybrid and cloud native architectures
Knowledge of Azure security and compliance principles
Hands on technical mindset
Proven collaboration skills
Commitment to continuous learning

Job Responsibility

Guide customers through data platform modernization decisions, balancing architecture, governance, cost, and performance considerations to enable AI‑ready and enterprise‑scale outcomes
Lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions
Drive technical sales by using technical demos, proof of concepts, technical architecture accelerator to influence solution design and enable deployments
Lead architecture sessions and technical workshops to accelerate Cloud & AI adoption
Build trusted relationships with platform leads to co-design secure, scalable solutions
Resolve technical blockers by collaborating with engineering and sharing customer insights
Represent Microsoft in customer forums and technical communities through thought leadership

What we offer

Opportunity to accelerate career growth
Deepen technical proficiency in architecture design, migration planning, and hybrid/cloud native solutions
Build strategic influence by shaping infrastructure, data, and application modernization decisions for AI driven business workloads
Develop future ready capabilities through continuous learning, certifications, and hands on experience with Microsoft Cloud & AI technologies

Fulltime

Azure Data Solution Engineer

Are you curious, passionate about infrastructure, and ready to solve complex cha...

Location

Canada , Toronto

Salary:

96000.00 - 177600.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience
Proficiency in designing and delivering modern, governed data platforms using Microsoft Fabric (OneLake, Lakehouse, DW, BI), Azure Databricks, Azure SQL and OSS databases, data engineering pipelines, and Purview
Advanced understanding of Cloud & AI services, including security, compliance, and hybrid cloud scenarios
Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions
4+ years’ experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat
Knowledge of regulatory frameworks such as GDPR, HIPAA, and Public Sector compliance standards

Job Responsibility

Help customers design secure, scalable, and resilient cloud data architecture that supports their modernization goals
Guide organizations through data platform modernization—designing and optimizing governed, AI‑ready analytics solutions and translating technical capabilities into measurable business outcomes
Collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure
Lead technical migration and modernization discussions, applying structured approaches (e.g., 6R strategy) to guide customer decisions
Influence technical decision makers (architects, platform leads, engineering managers) by translating complex architecture into clear, defensible solutions
Design, validate, and explain architectures
Collaborate with customers, partners, engineering teams, and account stakeholders to deliver outcomes
Drive technical sales by using technical demos, proof of concepts, technical architecture accelerator to influence solution design and enable deployments
Lead architecture sessions and technical workshops to accelerate Cloud & AI adoption
Build trusted relationships with platform leads to co-design secure, scalable solutions

Fulltime

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Azure Data Engineer- Lead Consultant

Job Responsibility

Requirements

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