Azure Data Engineer- Senior Consultant Job at Lingaro

Data Engineer Senior Consultant

We are currently seeking a Data Engineer Senior Consultant to join our team in B...

Location

India , Bengaluru

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–8+ years of experience as a Data Engineer with strong hands‑on expertise in Azure (Data Factory, Databricks, Data Lake Storage, SQL, Synapse preferred).
Proven ability to build production‑grade ETL/ELT pipelines supporting complex, multi‑regional business processes.
Experience designing or implementing rules engines (Drools, ODM, or similar).
Strong SQL skills and experience with data modeling, data orchestration, and pipeline optimization.
Experience working in Agile Scrum teams and collaborating across global regions (U.S. and India preferred).
Ability to partner closely with analysts and business stakeholders to translate rules into technical solutions.
Excellent debugging, optimization, and engineering problem‑solving skills.
Minimum Skills Required: SQL, Python, Azure Data Factory, Databricks, Azure Synapse

Job Responsibility

ETL Engineering & Data Pipeline Development
Business Rules Engine Development
Data Modeling & Modern Architecture Implementation
Cross‑Functional Collaboration
Quality, Performance & Reliability

Fulltime

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

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...

Location

Bulgaria , Sofia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Apache Spark and Delta Lake
Strong programming skills in Python and SQL
Proven experience building batch and streaming data pipelines and production-grade data platforms
Solid understanding of data modeling, data quality, and governance principles
Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
Familiarity with modern data platforms such as Databricks and Snowflake
Experience with lakehouse architectures and distributed data systems
Strong understanding of scalability, reliability, and performance considerations in data pipelines
Strong problem-solving skills focused on scalability and reliability
Collaborative approach to working in cross-functional teams

Job Responsibility

Design and implement scalable data platforms and pipelines across cloud environments using technologies such as Spark and Delta Lake
Build ingestion, transformation, and curation workflows for both structured and unstructured data
Implement modern data architectures including lakehouse patterns and medallion layering
Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
Enable data pipelines for GenAI use cases including LLMs, RAG pipelines, and vector-based data flows
Design scalable logical and physical data models for analytical and operational use cases
Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
Apply modern architecture patterns including event-driven and streaming architectures
Ensure adherence to best practices in data governance, lineage, quality, and access control
Establish strong data observability

What we offer

Flexibility with hybrid work options and 25 vacation days
Co-subsidized transportation & Multisport cards
Premium health insurance
Training policy for technical and other skills-related events, courses and certifications
Personal career development roadmap guided by performance evaluations
Self-care program offering psychological consultations & discussions
Cozy office space
Exciting team events and company gatherings

Fulltime

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...

Location

Portugal , Lisbon

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Apache Spark and Delta Lake
Strong programming skills in Python and SQL
Proven experience building batch and streaming data pipelines and production-grade data platforms
Solid understanding of data modeling, data quality, and governance principles
Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
Familiarity with modern data platforms such as Databricks and Snowflake
Experience with lakehouse architectures and distributed data systems
Strong understanding of scalability, reliability, and performance considerations in data pipelines
Strong problem-solving skills focused on scalability and reliability
Collaborative approach to working in cross-functional teams

Job Responsibility

Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake)
Develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake
Build ingestion, transformation, and curation workflows for both structured and unstructured data
Implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold)
Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
Enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows
Design scalable logical and physical data models for analytical and operational use cases
Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
Apply modern architecture patterns including event-driven and streaming architectures
Ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC)

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Senior Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years
Data Architecture & Platform Engineering
AI-First Delivery
Engineering Excellence & DataOps
AI / ML & Intelligent Systems
Innovation & Technical Thought Leadership
Team Leadership & Mentorship
Soft Skills & Mindset

Job Responsibility

Lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes
Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, compliant, and aligned to business objectives, architectural best practices, and Microsoft reference architectures
Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies while meeting quality, time, and cost constraints
Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital (IP) with customers, world-wide, and programs and initiatives across Microsoft
Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
Collaborates, as appropriate, with peers and cross-functional teams to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions for strategic Microsoft products and services
Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML-powered data solutions
Continuously upskill self to become strong Full stack data engineer, inspire their team as much, to be able to build future-ready skills, collaborate with other specialist teams, product teams, and customers to co-create innovative solutions and help the customers tackle some of their biggest challenges
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities

Fulltime

Senior Data Engineer

Senior Data Engineer - UKRAINE - REMOTE. We are looking for an experienced Senio...

Location

Ukraine

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Apache Spark and Delta Lake
strong programming skills in Python and SQL
proven experience building batch and streaming data pipelines and production-grade data platforms
solid understanding of data modeling, data quality, and governance principles
experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
familiarity with modern data platforms such as Databricks and Snowflake
experience with lakehouse architectures and distributed data systems
strong understanding of scalability, reliability, and performance considerations in data pipelines
strong problem-solving skills focused on scalability and reliability
collaborative approach to working in cross-functional teams

Job Responsibility

Build & Data Platform Engineering: design and implement scalable data platforms and pipelines across cloud environments
develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake
build ingestion, transformation, and curation workflows for both structured and unstructured data
implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold)
Enable AI, GenAI & Data Products: deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows) and agent-based architectures and intelligent workflows
Data Modeling, Orchestration & Automation: design scalable logical and physical data models for analytical and operational use cases
orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
Architecture, Governance & Observability: apply modern architecture patterns including event-driven and streaming architectures
ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC)

What we offer

Mental and physical health: Medical insurance
Sports reimbursement budget
Home office support
A number of free psychological and legal consultations
Maternity and paternity leave support
Personal and professional development: Internal workshops and learning initiatives
English language classes compensation
Professional certifications reimbursement
Participation in professional local and global communities
Growth Framework to manage expectations and define the steps to move towards the selected career

Fulltime

Senior Data Consultant

We are hiring a Senior Data Consultant to strengthen our Contact Centre Data cap...

Location

United Kingdom , London

Salary:

Not provided

Sabio Group

Expiration Date

Until further notice

Requirements

Strong SQL‑based data engineering and analytics experience.
Proven database design and data modelling capability.
Experience across cloud platforms, integrations (REST APIs) and BI tools.
Solid understanding of Contact Centre data and KPIs.
Customer‑facing consulting or delivery experience.
Strong problem‑solving and diagnostic skills.

Job Responsibility

Design relational database schemas, including normalised and analytical (star/snowflake) models.
Build and maintain databases across platforms such as SQL Server, PostgreSQL and cloud data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery).
Write and optimise complex SQL, including stored procedures, functions, views and performance‑tuned queries.
Develop ETL/ELT logic using SQL‑based approaches and frameworks.
Work with ACD, IVR and routing datasets.
Define and validate Contact Centre KPIs such as AHT, FCR, abandonment rate, SLA and occupancy.
Support analytics use cases including outbound campaigns and bots.
Apply Contact Centre domain knowledge, ideally including Genesys Cloud.
Lead customer data health assessments covering data accuracy and completeness, missing and inconsistent data, standardisation and formatting, referential integrity.
Apply and communicate data governance principles clearly.

What we offer

Pension Scheme
Remote/Flexible work
Life insurance
Private health and dental care
Cycle to work
28 days paid holiday a year- (this includes three Sabio days)
LinkedIn Learning

Fulltime

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

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Azure Data Engineer- Senior Consultant

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