BI Data Engineer Technical Lead Job at Sopra Steria (Noida)

New

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

Lead BI Engineer

As a Lead BI Engineer, you'll play a critical role in shaping and driving the da...

Location

United Kingdom , London

Salary:

Not provided

Arrive

Expiration Date

Until further notice

Requirements

5+ years’ experience in a BI / Data engineering role. with at least 2 years operating in a lead or senior capacity where you've influenced priorities beyond your immediate team
Strong Python skills, with experience building ELT/ETL pipelines
Strong SQL skills, with experience building and optimizing complex transformations
Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools)
A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience)
Solid understanding of data modelling concepts and analytics-ready schemas
Demonstrated experience managing relationships with business stakeholders, including scoping data requirements, setting expectations, and delivering against commercial priorities
Commercially minded: you understand how data supports revenue, operations, and strategic goals, and you use that understanding to guide where you invest your effort
Strong communication skills, with the ability to explain technical concepts and trade-offs to non-technical audiences

Job Responsibility

Design, build, and maintain end-to-end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers
Own and improve existing data pipelines, ensuring high reliability, performance, and scalability
Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns
Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime
Implement best practices for BI engineering, including testing, documentation, version control, and observability
Continuously improve data architecture and workflows to support growing data volumes and evolving business needs
Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well-scoped BI engineering work
Help shape and prioritise the BI engineering backlog, balancing technical improvements with high-impact business requests
Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value

Fulltime

Lead Data Engineer

We’re looking for a Senior/Lead Data Engineer to join our team. We are seeking a...

Location

India , Noida

Salary:

Not provided

Taazaa Inc

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
7–9 years of experience as a Data Engineer or in a similar role
Strong experience in building and maintaining ETL/ELT pipelines
Experience supporting analytics and AI/ML data workflows
Hands-on experience with ETL tools such as Apache Airflow, Airbyte, and dbt
Strong expertise in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis)
Proficiency in Python and Shell scripting for data processing and automation
Experience with cloud platforms (AWS, Azure, GCP) and their data services
Familiarity with data warehousing solutions such as Amazon Redshift or Snowflake
Experience with containerization tools like Docker and orchestration using Kubernetes

Job Responsibility

Design, develop, and maintain scalable ETL/ELT pipelines for processing large datasets
Build data pipelines to ingest, transform, and load data into data lakes, warehouses, and feature stores
Optimise data workflows for performance, reliability, and scalability
Integrate data from multiple sources, including APIs, databases, and file systems (JSON, CSV, Parquet)
Manage relational and non-relational databases, including columnar databases like ClickHouse
Ensure efficient data storage and retrieval for both analytics and ML workloads
Implement data quality checks, validation frameworks, and monitoring systems
Maintain data lineage, metadata management, and governance standards
Ensure data accuracy, consistency, and compliance for analytics and AI/ML use cases
Deploy and manage data solutions on cloud platforms (AWS, Azure, GCP) or on-prem environments

What we offer

Competitive salaries
Health benefits
Various perks
Competitive compensation and performance-based incentives
Opportunities for professional growth through workshops and certifications
Flexible work-life balance with remote options
Collaborative culture
Exposure to diverse projects across various industries
Clear career advancement pathways
Comprehensive health benefits

Fulltime

Lead Data Engineer

We’re Quickline, and we believe everyone deserves great internet. Whoever you ar...

Location

United Kingdom

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Extensive hands-on data engineering experience within complex, high-growth or technology-led organisations, including building data platforms from inception to production
Proven track record of transforming fragile or fragmented pipelines into trusted, governed, production-grade data platforms through practical engineering improvements
Strong expertise across the full data engineering lifecycle: data ingestion, transformation and modelling, and enabling consumption through BI layers and semantic models
Deep hands-on experience with modern cloud data platforms, including best practices for testing, monitoring, environments, deployment, and data quality management across pipelines and upstream systems
Experienced leader and communicator, capable of building and developing high-performing data engineering teams while clearly explaining trade-offs and delivery decisions to non-technical stakeholders

Job Responsibility

Build and own core data engineering foundations in a business where data is becoming central to operational performance and decision making
Design and deliver reliable ingestion and transformation pipelines that reduce failures and “multiple versions of the truth”
Create trusted, well modelled datasets that underpin executive KPIs and operational dashboards across the organisation
Improve platform maturity: environments, testing, monitoring, documentation, and release practices that make delivery safer and faster
Work closely with IT, Systems Development and business teams to align system changes with data flows and change control
Be part of a data function that’s building towards a modern, governed single source of truth with clear ownership and quality expectations

What we offer

Pension – 5% employer / 5% employee contribution
Health Cashback Scheme – Can claim back prescription, GP and optician charges, therapy allowance, private outpatient consultations, EAP, 24/7 remote GP service, member discounts
25 days annual leave + bank holidays, your birthday, house move and wedding day off
Option to buy or sell up to 5 additional days annual leave
Enhanced Paternity/Maternity/Adoption leave
High Street Shopping Discount Scheme - Holidays, food and drink, insurance, sport, tech, high street, Ikea, M&S, cinema etc
Free Parking on site
Regular ‘Lunch & Learns’
Social Events – Summer and End of Year parties etc
Customer Obsessed Awards - Regular opportunities to win

Fulltime

Lead Data Engineer

Lead Data Engineer to design, build, and maintain the integrity of our core data...

Location

United Kingdom , Swindon

Salary:

75000.00 GBP / Year

TalentHawk

Expiration Date

Until further notice

Requirements

Proven experience leading data engineering or BI teams within complex environments
Hands-on expertise in designing and implementing Enterprise Data Warehouses
Track record of building secure data pipelines across multiple source systems
A degree in Computer Science, Data Engineering, or a related field (or equivalent experience)
Relevant certifications (e.g., Azure/AWS Data Engineer, Snowflake) are highly desirable
Strong grasp of Data Vault, Kimball, or equivalent design patterns
Expert-level SQL, ETL/ELT pipeline development, and modern engineering tools
Proficiency with cloud-based services (Azure, AWS, or GCP) and Power BI
Deep understanding of data security, GDPR, and governance frameworks
Exceptional leadership and mentoring capabilities

Job Responsibility

Architecture & Implementation: Own the Data Warehouse lifecycle, ensuring high availability, security, and scalability
Data Integration: Build and maintain robust pipelines to ingest and transform data from diverse systems (Salesforce, NetSuite, and digital platforms)
Team Leadership: Manage and mentor the BI team, providing technical direction and fostering a high-performance culture
Data Governance & Security: Implement validation practices, metadata management, and data lineage to ensure GDPR compliance and data integrity
Stakeholder Collaboration: Act as a bridge between technical teams and business leaders to translate reporting needs into actionable technical solutions
Strategic Input: Evaluate new technologies and provide expert advice on programs requiring integrated data and analytics

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

Technical Analyst - Data Engineer

The Technical Analyst (Data Engineer) is responsible for collecting, reviewing, ...

Location

India , Bengaluru

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering, information technology, computer science, or a related field is preferred
Minimum 5-year past work experience as a project coordinator, BI, business, or data analyst
Experience with process improvement is preferred
Experience with infrastructure and large complex projects is strongly preferred
Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R)
Experience with dashboarding and data visualization platforms (e.g., Power BI, Tableau, Google Looker Studio)
Intermediate to expert proficiency in Microsoft Office applications: Word, Excel, PowerPoint, and Outlook
Ability to analyze and communicate data to clients and teams
Strong analytical, problem-solving, and communication skills
Able to think logically, organize workflows efficiently, and solve problems independently

Job Responsibility

Collect, validate, and analyze technical data from building systems, sensors, and operational reports, ensuring data integrity and accuracy
Collaborate with technical SMEs and BMS leads to understand system performance, identify anomalies, and develop data-driven solutions
Develop, maintain, and enhance dashboards and reporting tools to visualize key performance indicators (KPIs), trends, and operational metrics using platforms such as Power BI and Tableau
Identify and communicate actionable insights to improve system efficiency, reduce downtime, and support sustainability initiatives
Support predictive maintenance and operational excellence programs by analyzing historical and real-time data
Automate data collection and reporting processes, integrating data from multiple sources including Databricks, Azara, and other enterprise platforms
Ensure data security and compliance with JLL’s data governance standards
Stay updated on emerging data engineering tools, analytics platforms, and best practices relevant to building operations and facilities management
Work with cross-functional teams to support business intelligence initiatives and deliver high-quality analytical outputs
Present findings and recommendations to stakeholders at various levels, including technical teams and senior management

Fulltime

Software Development Engineer III - Data Management Lead

Join Amgen's Mission to Serve Patients. In this vital role We are looking for a ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science & engineering preferred with 7+ years of software development experience OR Bachelor’s degree in computer science & engineering preferred with 8+ years of software development experience
Proven experience (7+ years) in data governance or data management roles
Experience in full stack development along with Data Management
Strong experience with Collibra Data Governance platform, including design, configuration, and development
Hands-on experience with Collibra workflows, rules engine, and data stewardship processes
Experience with integrations between Collibra and other data management tools
Proficiency in SQL and scripting languages (e.g., Python, JavaScript)
Strong problem-solving and troubleshooting skills
Excellent communication and collaboration skills to work with both technical and non-technical stakeholders
Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams

Job Responsibility

Lead data management initiatives collaborating across business, IT, and data governance teams
Design and implement data governance frameworks, policies, and procedures within Collibra
Configure, implement, and maintain Collibra Data Quality Center to support enterprise-wide data quality initiatives
Lead the implementation and configuration of Collibra Data Governance platform
Develop, customize, and maintain Collibra workflows, dashboards, and business rules
Collaborate with data stewards, data owners, and business analysts to understand data governance requirements and translate them into technical solutions
Provide technical expertise and support to business users and IT teams on Collibra Data Quality functionalities
Collaborate with data engineers and architects to implement data quality solutions within data pipelines and data warehouses
Participate in data quality improvement projects, identifying root causes of data issues and implementing corrective actions
Integrate Collibra with other enterprise data management systems (e.g., data catalogs, BI tools, data lakes)

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Fulltime

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BI Data Engineer Technical Lead

Job Description

Job Responsibility

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