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
Minimum of 8 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
Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake 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
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management
Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies

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
100% remote
Flexibility regarding working hours
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
Grow as we grow as a company
A diverse, inclusive, and values-driven community

Fulltime

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

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
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

Lead Data Engineer

The Lead Data Engineer is responsible for building and leading our data engineer...

Location

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

Extensive experience in data engineering with a proven track record of leading complex data initiatives
Strong technical leadership experience, with the ability to guide and develop engineering teams
Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes
Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services
Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT)
Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.)
Strong understanding of data modeling, data governance, and data quality principles
Excellent communication skills with the ability to translate complex technical concepts for business stakeholders
Strategic thinking with the ability to develop and execute technical roadmaps
Experience working in an agency or consulting environment is highly advantageous

Job Responsibility

Lead the strategic development of our data engineering proposition and capabilities
Set technical standards and best practices for data engineering across EMEA
Guide and mentor data engineers, fostering a culture of technical excellence and innovation
Design and implement scalable, reliable data architectures and pipelines for enterprise clients
Serve as the technical authority on client engagements, providing expert guidance
Build and grow a high-performing data engineering team
Work closely with the broader Data & AI practice to deliver integrated solutions
Support business development efforts through technical expertise in client pitches
Stay ahead of emerging technologies and methodologies in the data engineering space

What we offer

A reputation for doing good
Awesome clients
The opportunity for possibility with training, development and certifications
Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities
Additionally
each office has its long list of local benefits

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Azure Data Engineer - Lead Consultant

Job Responsibility

Requirements

What we offer

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