Data Engineering - Technical Delivery Lead Job at Cencora

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Lead Data Engineer

At Citi Fund Services is undergoing a major transformation effort to transform t...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant years of hands-on experience in software development, with proven experience in data integration / data pipeline developments
Exceptional technical leader with a proven background in delivery of significant projects
Multi-year experience in Data integration development (Ab Initio, Talend, Apache spark, AWS Glue, SSIS or equivalent) including optimization, tuning and benchmarking
Multi-year experience in SQL Oracle, MSSQL and equivalents including optimization, tuning and benchmarking
Expertise with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.) a significant plus
Strong understanding of Agile methodologies (Scrum, Kanban) and experience working in Agile teams
Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premises or public cloud (i.e., Tekton, Harness, Jenkins, etc.)
Demonstrable expertise in financial services considered a plus
Self-starter with the ability to drive projects independently and deliver results in a fast paced environment

Job Responsibility

Architect and develop enterprise-scale data pipelines using the latest data streaming technologies
Implement and optimize delivered solutions through tuning for optimal performance through frequent benchmarking
Develop containerised solutions capable of running in private or public cloud
Ensure solution is aligned to ci/cd tooling and standards
Ensure solution is aligned to observability standards
Effectively communicate technical solutions and artifacts to non-technical stakeholders and senior leadership
Contribute to the journey of modernizing existing data processors move to common and cloud
Collaborate with cross function domain experts to translate business requirements to scalable data solutions

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

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
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

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

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

Manager, Business Analysis & Agile Delivery – Global Data Engineering & BI

We're looking for an experienced people leader with strong Agile delivery expert...

Location

United States of America , Charlotte

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

8+ years in business analysis, Agile delivery, and/or data-focused project management
3+ years of direct people management
Proven success leading Agile teams (Scrum or Kanban) and scaling Agile practices across multiple initiatives
Solid understanding of data engineering, BI, and analytics ecosystems
Experience mentoring and developing talent, with a passion for building team capabilities
Strong communication skills with the ability to influence and align stakeholders at all levels
Expertise in Jira, Confluence, Azure DevOps, or similar project management tools
Ability to manage multiple priorities in a fast-paced, matrixed environment
Bachelor's degree in Information Systems, Data Analytics, or related field

Job Responsibility

Lead, inspire, and grow a team of Business Analysts and Scrum Masters
Provide coaching and performance management, helping team members develop career paths and strengthen their skills
Oversee requirements gathering, documentation, and translation of business needs into technical solutions across multiple data and BI initiatives
Drive adoption of Agile best practices and ensure consistent delivery approaches across teams
Act as an escalation point for project issues, scope alignment, and cross-functional dependencies
Collaborate with engineering, product, and business stakeholders to deliver high-quality solutions on time
Standardize and continuously improve BA and Scrum Master processes, templates, and tool usage
Balance team capacity and prioritize work to focus on the highest-value initiatives
Support talent acquisition, onboarding, and career development within the BA and Scrum Master community

Fulltime

Technical Leader - Data Engineering

The position involves leading a team of Data Engineers and Developers, managing ...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Knowledge of Microsoft Azure and/or Google Cloud environments, particularly in the field of AI & Data solutions
Experience in building ETL/ELT processes
Knowledge of cloud services in the field of Data Engineering (Microsoft Fabric / Databrics / Snowflake)
Programming skills and knowledge of SQL / Python
Presales skills, i.e. preparing preliminary PoCs and presenting them to customers
Knowledge of English at B2+ level

Job Responsibility

Lead end-to-end delivery for multi-team engagements, converting strategy into executable roadmaps with clear milestones, risk controls, and timely decisions
Build high-performing teams through coaching and firm standards
resolve conflicts early and develop successors to mitigate key-person risk
Serve as a trusted client counterpart- facilitate outcome-oriented workshops, align stakeholders, negotiate scope/change, and maintain a value-prioritized backlog
Drive commercial outcomes by shaping proposals/SOWs, producing defensible estimates, tracking margin/utilization/forecast accuracy and identifying compliant, value-accretive expansions
Provide architectural leadership and governance, documenting trade-offs and aligning with security, compliance, cost, and operability
Lead team of Data Engineers and Developers
Technical verification of Candidates

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect

Customer Delivery Engineering Technical Leader

For our client – worldwide leader in innovative IT and networking technologies –...

Location

Poland , Warsaw

Salary:

Not provided

Flint International

Expiration Date

Until further notice

Requirements

BS in a technical field (CS/EE preferred) or equivalent plus 8+ years related experience
Superior level knowledge in (1) of the following and strong knowledge in all other areas of: Security, Data Center, IP internetworking, LAN Switching, ATM & Voice technologies, IP Telephony, SAN, CDN, Optical, Wireless, IPCC. WAN protocols (Frame Relay, ISDN). IP Routing protocols (IGRP, OSPF, EIGRP, BGP)
Superior level internet-working troubleshooting in a medium / large-scale network environment
Network design skills
Demonstrated ability to self-manage
Strong commitment to quality and customer satisfaction
Excellent oral and written communication skills
Language: English and Polish
Certification: security clearance-mandatory

Job Responsibility

Leads customer delivery engagements and/or provides escalation support for large scale solutions and complex issues through deep technical expertise
Provides leadership capabilities and insight for creation and sharing of intellectual capital, influences the Engineering team to improve products, actively mentors and develops others
Thought leader
collaborates cross functionally with internal stakeholders to showcase the value of the company’s services and solutions to customers
Drives customer technology transitions, influencing solution architectures and services
Builds customer simulations to resolve/validate complex problems and compatibility issues
Leads creation and dissemination of technical collateral, intellectual capital, documentation and knowledge transfer
Provides technical expertise and escalation support in documenting and resolving technical problems found in products and solutions
Mentors and develops others
Contribute effectively in the areas of Customer Problem Resolution

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

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

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

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

Data Engineering - Technical Delivery Lead

Cencora

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

Expiration:
March 16, 2026

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