CrawlJobs Logo
Eutopia Logo Eutopia · IT - Software Development

Data Engineering Lead

United Kingdom, Hampshire · Job Posted February 16, 2026
Apply Position
Job Link Share

Job Description

Data Engineering Lead (Contract) to take technical ownership of an enterprise Azure data platform. This is not a coordination role. You will be building, leading, and solving real production challenges from day one. The platform is business-critical and supports executive reporting, operational insight, and strategic decision-making.

Job Responsibility

  • take technical ownership of an enterprise Azure data platform
  • building, leading, and solving real production challenges from day one
  • take ownership of a live Azure-based data platform
  • responsible for stabilising, optimising, and evolving it

Requirements

  • hands-on experience
  • technical ownership of an enterprise Azure data platform
  • building, leading, and solving real production challenges
  • experience with Azure Databricks
  • experience with SQL data models
  • experience with Power BI
  • experience with Terraform (Infrastructure as Code)
  • experience with CI/CD using GitHub Actions
  • responsible for stabilising, optimising, and evolving a business-critical platform
Eutopia - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Engineering Lead

8 matching positions

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Data Engineering Lead

The Engineering Lead Analyst is a senior level position responsible for leading ...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
  • 4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Job Responsibility
Job Responsibility
  • Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
  • Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
  • Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
  • Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
  • Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness
  • Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions
  • Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations
What we offer
What we offer
  • Equal opportunity employer commitment
  • Accessibility and accommodation support
  • Global workforce benefits
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

We are seeking an experienced Senior Data Engineer to lead the development of a ...
Location
Location
India , Kochi; Trivandrum
Salary
Salary:
Not provided
experionglobal.com Logo
Experion Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years experience in data engineering with analytical platform development focus
  • Proficiency in Python and/or PySpark
  • Strong SQL skills for ETL processes and large-scale data manipulation
  • Extensive AWS experience (Glue, Lambda, Step Functions, S3)
  • Familiarity with big data systems (AWS EMR, Apache Spark, Apache Iceberg)
  • Database experience with DynamoDB, Aurora, Postgres, or Redshift
  • Proven experience designing and implementing RESTful APIs
  • Hands-on CI/CD pipeline experience (preferably GitLab)
  • Agile development methodology experience
  • Strong problem-solving abilities and attention to detail
Job Responsibility
Job Responsibility
  • Architect, develop, and maintain end-to-end data ingestion framework for extracting, transforming, and loading data from diverse sources
  • Use AWS services (Glue, Lambda, EMR, ECS, EC2, Step Functions) to build scalable, resilient automated data pipelines
  • Develop and implement automated data quality checks, validation routines, and error-handling mechanisms
  • Establish comprehensive monitoring, logging, and alerting systems for data quality issues
  • Architect and develop secure, high-performance APIs for data services integration
  • Create thorough API documentation and establish standards for security, versioning, and performance
  • Work with business stakeholders, data scientists, and operations teams to understand requirements
  • Participate in sprint planning, code reviews, and agile ceremonies
  • Contribute to CI/CD pipeline development using GitLab
Read More
Arrow Right

Lead Data Engineer

Join our dynamic team as a Lead Data Engineer to spearhead the development, opti...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
fissionlabs.com Logo
Fission Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • Expert-level understanding of Salesforce object model
  • Comprehensive knowledge of Salesforce integration patterns
  • Deep understanding of Salesforce data architecture
  • Experience with Salesforce Bulk API jobs
  • Ability to handle complex data transformations and migrations
  • Knowledge of Salesforce metadata and custom object relationships
  • Advanced Python programming skills
  • Proven experience with AWS cloud services, specifically: AWS Glue, AWS Step Functions, AWS Lambda, AWS S3, AWS CloudWatch, Athena
  • Salesforce data model, Bulk jobs and architecture
Job Responsibility
Job Responsibility
  • Experience leading and driving large scale data migration projects
  • Experience in working with all the stakeholders to plan and coordinate the entire migration process
  • Proficiency in Python development
  • Experience building scalable, event-driven data migration solutions
  • Strong understanding of ETL (Extract, Transform, Load) processes
  • Familiarity with cloud-native architecture principles
What we offer
What we offer
  • Opportunity to work on business challenges from top global clientele with high impact
  • Vast opportunities for self-development, including online university access and sponsored certifications
  • Sponsored Tech Talks, industry events & seminars to foster innovation and learning
  • Generous benefits package including health insurance, retirement benefits, flexible work hours, and more
  • Supportive work environment with forums to explore passions beyond work
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...
Location
Location
United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)
Salary
Salary:
80000.00 - 96000.00 GBP / Year
madetech.com Logo
Made Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
  • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
  • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
  • Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
  • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
  • You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
  • Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
  • Some knowledge of how you would present diagrams (C4, UML, etc.)
  • Enthusiasm for learning and self-development
  • You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban
Job Responsibility
Job Responsibility
  • Define, shape and perfect data strategies in central and local government
  • Help public sector teams understand the value of their data, and make the most of it
  • Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
  • Contribute to our recruitment efforts and take on line management responsibilities
  • Help implement efficient data pipelines & storage
What we offer
What we offer
  • 30 days of paid annual leave
  • Flexible parental leave options
  • Part time remote working for all our staff
  • Paid counselling as well as financial and legal advice
  • 7% employer matched pension
  • Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
  • Optional social and wellbeing calendar of events
  • Fulltime
Read More
Arrow Right

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right