Azure Data Platform Lead Job at Codvo AI

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

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

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

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

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 Platform Manager

The Team Lead Platform Manager Integration is responsible for the delivery, stab...

Location

United Kingdom , Birmingham

Salary:

64500.00 GBP / Year

Salt

Expiration Date

Until further notice

Requirements

Strong integration delivery and engineering skills covering enterprise scale system connectivity and API development
Ability to lead complex technology services and balance technical needs with supplier performance
Strong understanding of Azure integration tooling
Supplier and stakeholder management skills
Ability to lead technical teams and set direction across support and delivery
Strong knowledge of Azure integration services and native cloud components
Good understanding of ERP or major enterprise systems such as Oracle or P6 and how they integrate
Knowledge of integration security principles and data transfer risks
Knowledge of agile and waterfall delivery approaches
Proven experience delivering enterprise scale integrations in a senior or lead position

Job Responsibility

Own the design, delivery and performance of integration services across the organisation
Lead the support and stabilisation of existing integration platforms including point to point links, automated interfaces and API based services
Develop and implement an enterprise integration strategy for internal systems and external third parties, suppliers, and partners
Oversee Azure integration services including API Management, Logic Apps, Azure Monitor and other native cloud components
Lead internal teams and suppliers providing integration development, support and operational services
Define technical standards, security controls and design patterns for all integration work
Ensure integration services meet SLAs and KPIs and deliver improvements where needed
Lead the identification and resolution of integration related issues, risks and vulnerabilities
Support integration activity across programmes using agile or waterfall delivery depending on project needs
Promote a consistent and inclusive approach across all workstreams

Fulltime

Azure Data Architect

Location: 100% Remote; Years’ Experience: 10+ years Professional Experience; Edu...

Location

United States

Salary:

Not provided

Sparibis

Expiration Date

Until further notice

Requirements

10+ years of experience in data science, machine learning, and statistical modeling
Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
Must be able to obtain and maintain a Secret security clearance
Expertise in statistical modeling, machine learning algorithms, and data mining techniques
Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry)
Proficiency in programming languages such as Python, R, SQL, PySpark
Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
Experience with data visualization tools (e.g., Power BI)
Strong experience with data extraction, cleaning, and transformation (ETL) processes
Experience in data governance, metadata management, and data cataloging

Job Responsibility

Data Science Strategy: Develop and implement a data science strategy for the project, aligning with USMC’s strategic goals and objectives
Problem Identification: Work with USMC stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management
Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements
Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques
Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability
Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders
Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support
Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions
Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes
Compliance: Ensure that all data science activities comply with relevant USMC and DoD regulations and security policies

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

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

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

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...

Location

United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)

Salary:

80000.00 - 96000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

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

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

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

Big Data Lead Developer

We are seeking a highly skilled and experienced Big Data Lead Developer to estab...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Big Data application development or systems analysis role
Experience in leading and mentoring big data engineering teams
Strong understanding of big data concepts, architectures, and technologies (e.g., Hadoop, PySpark, Hive, Kafka, NoSQL databases)
Proficiency in programming languages such as Java, Scala, or Python
Excellent problem-solving and analytical skills
Strong presentation, communication and interpersonal skills
Experience with data warehousing and business intelligence tools
Experience with data visualization and reporting
Knowledge of cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc)
Proficiency in Unix/Linux environments

Job Responsibility

Lead and mentor a team of big data engineers, fostering a collaborative and high-performing environment
Provide technical guidance, code reviews, and support for professional development
Design and implement scalable and robust big data architectures and pipelines to handle large volumes of data from various sources
Evaluate and select appropriate big data technologies and tools based on project requirements and industry best practices
Implement and integrate these technologies into our existing infrastructure
Develop and optimize data processing and analysis workflows using technologies such as Spark, Hadoop, Hive, and other relevant tools
Implement data quality checks and ensure adherence to data governance policies and procedures
Continuously monitor and optimize the performance of big data systems and pipelines to ensure efficient data processing and retrieval
Collaborate effectively with cross-functional teams, including data scientists, business analysts, and product managers, to understand their data needs and deliver impactful solutions
Stay up to date with the latest advancements in big data technologies and explore new tools and techniques to improve our data infrastructure

What we offer

Global benefits designed to support your well-being, growth, and work-life balance

Fulltime

IT Development Manager for Data Intelligence Platform

You will lead technical developments of a Data Intelligence Platform and partner...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

5+ years of experience in developing Data Management and Analytics applications
Extensive Knowledge of (Meta) Data Management capabilities: Data Governance, Data Lineage, Data Assets, Data Products, Data Catalog, Data Marketplace, Data Policy, Ontologies
Considerable experience in designing, developing & integrating Data and Analytics applications using modern architectures and frameworks, structured and unstructured data
Broad and up to date technical knowledge: Databases (e.g. Oracle, Databricks), Middleware/Integration (e.g. Solace, Kafka), API Management, Cloud Providers (Azure, AWS, Google), AI Technologies (LLMs, Agents)
Experimental mindset, self-motivation to search for solutions and appreciate learning new things
Strong communication skills, proactive in contacting people
English (fluent in spoken and written)

Job Responsibility

Lead technical developments of a Data Intelligence Platform
Partner with Business, Solution and IT Architects on the strategy and delivery of the Platform functionalities
Define consistent system specific guidelines for the software development and configuration environment in alignment with central guidelines
Assess customer requirements from a technical perspective with respective effort estimations and assist in the design and development of proof of concept and prototypes
Document specifications and support the creation of operational support manuals during the technical implementation
Take over responsibility for interface implementation and documentation
Steer external and internal developers
Support DevOps by sizing and scalability concepts (for specific use cases)

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card
Non-working day on the 31st of December

Fulltime

Select Country

Azure Data Platform Lead

Job Description

Job Responsibility

Requirements

Nice to have

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