data engineering lead

The University of Michigan

<p></p><div><div><div><h2 class="jobSectionHeader"><b>How to Apply</b></h2><p>
A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in two pages or less, please let us know how this role aligns with your career aspirations and skill set. Submit both a cover letter and resume as one file (because of system limitations).</p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><p>
The Center for Academic Innovation (CAI) at the University of Michigan is seeking a highly qualified Data Engineering Lead. As we expand our Data, BI, and AI/ML capabilities to support innovative educational solutions, the Michigan Online platform and CAI internal operations, you will step into this newly created leadership role to guide our data engineering team. You will play a critical role in building scalable data systems, demonstrating outstanding data stewardship, and promoting collaboration through BI and AI community initiatives. Based in Ann Arbor, Michigan and reporting to CAI's Director of Data and Business Intelligence, you will lead a team charged with building our world-class data infrastructure and working collaboratively with internal teams and across campus aligning the work we do with CAI's mission and long-term vision.</p><h2 class="jobSectionHeader"><b>
Who We Are</b></h2><p><b>
About the Center for Academic Innovation</b></p><p>
Through curricular innovation, tools for student success, and educational research and analytics, the University of Michigan Center for Academic Innovation is building the future of education. Our vision is a future in which education connects and empowers learners everywhere to reach their full potential throughout their lives. To realize our vision, we make it our mission to collaborate across campus and around the world to create equitable, lifelong educational opportunities for learners everywhere.</p><p><b>
About the Data and Business Intelligence Team</b></p><p>
The Data and Business Intelligence Team within the Center for Academic Innovation (CAI) at the University of Michigan drives CAI's data strategy, ensuring that data is used responsibly, ethically, and securely. Our team of data engineers, scientists, and analysts powers internal operations and the Michigan Online platform by leveraging data as our universal language for analytics, insights and decision-making. We strive to democratize access to data while upholding strong standards for governance, security, and privacy. Through collaboration and communities of practice, we share innovations, learn from peers, and help foster a culture of data-informed decision-making across CAI and the broader campus.</p><p>
For more information, please visit our website: Academic Innovation.</p><h2 class="jobSectionHeader"><b>
Responsibilities*</b></h2><p><b>
Data Architecture and Technical Expertise</b></p><ul><li>
Design and implement end-to-end data warehousing solutions, integrating diverse source systems with target applications to create actionable metrics and insights, ensuring scalability, resilience, and maintainability.</li><li>
Leverage expert knowledge of dimensional modeling (e.g., Kimball methodology, Star and Snowflake schemas) to build logical and physical data models that support reporting, analytics, and AI/ML use cases.</li><li>
Utilize advanced ELT tools and techniques for efficient data processing, while optimizing cloud-based architectures like Snowflake and Databricks for cost efficiency.</li><li>
Work seamlessly with structured and unstructured datasets, managing multiple source and target systems with varying access levels.</li><li>
Incorporate AI tools into daily workflows, coaching team members on their use within a structured framework to enhance data engineering and internal operations.</li></ul><p><b>
Team Leadership and Strategic Alignment</b></p><ul><li>
Lead and mentor data engineers and architects, providing oversight, performance management, and fostering a culture of shared ownership and excellence in data engineering.</li><li>
Align team priorities with organizational and stakeholder goals to ensure cohesive project delivery and contribute to strategic goal-setting within the data domain. Lead discovery sessions with stakeholders, ensuring clear and effective communication with non-technical audiences.</li><li>
Facilitate collaboration across teams and domains to achieve shared objectives, while planning for team growth to support long-term data capabilities.</li><li>
Guide early career team members, promoting professional development and a standard of excellence across CAI.</li></ul><p><b>
Cross-Functional Collaboration &amp; Community Building</b></p><ul><li>
Partner with cross-functional teams in Engineering, Online Learning, and XR to gather requirements, communicate effectively with non-technical stakeholders, and deliver cohesive data solutions.</li><li>
Proactively identify opportunities to improve data processes, track key metrics for team objectives, and ensure a service model that supports positive stakeholder engagement.</li><li>
Co-host the BI + AI Community of Practice and lead monthly Data Hours to foster collaboration, share insights, and showcase the team's work across the university campus.</li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications*</b></h2><ul><li>
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field is a plus.</li><li>
10-12 years of experience and progressive responsibility in data engineering, data architecture, or related technical roles.</li><li>
Leadership &amp; People Management: A servant leader with proven ability to lead data teams, including people leadership, hiring, mentoring, and aligning priorities with organizational goals.</li><li>
Technical Acumen: Expert-level knowledge of dimensional modeling, Star and Snowflake schemas; expert-level knowledge of latest ELT tools and techniques; deep understanding of cloud-based architectures including Snowflake and Databricks; fluency in building scalable and complex data pipelines between large numbers of source and target systems. Fluency with salesforce.com clouds and familiarity with cloud-based hyperscaler solution optimizations are a huge plus.</li><li>
Architectural Skills: Demonstrated experience architecting end-to-end data warehousing solutions, building logical and physical data models, and thinking comprehensively across data and technology ecosystems. Prior experience with Snowflake, Databricks and Matillion are a huge plus.</li><li>
Data Governance and Security: Prior experience establishing scalable data governance practices and ensuring compliance with data privacy and security standards (e.g., FERPA, GDPR).</li><li>
Stakeholder Engagement: Proven ability to lead discovery sessions and communicate effectively with non-technical stakeholders.</li><li>
Project Management &amp; Organizational Skills: Demonstrated capability to independently manage projects from start to finish and handle multiple tasks, including working on projects that involve multiple internal teams and using enterprise technology tools like Asana to streamline collaboration.</li><li>
Analytical &amp; Problem-Solving Aptitude: Strong analytical skills and proactive in identifying issues and designing solutions. Ability to build reports and dashboards using Looker and Tableau.</li><li>
Communication &amp; Collaboration: Proven ability to build rapport and collaborate effectively with internal teams as well as external stakeholders.</li><li>
Industry Interest: Familiarity with trends in data technologies and educational analytics coupled with a proactive, results-oriented mindset and eagerness to learn.</li></ul><h2 class="jobSectionHeader"><b>
Modes of Work</b></h2><p>
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.</p><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
The mode of work for this position is <b>Hybrid</b> with a minimum of 4 days in the office per week, Monday through Thursday, with an option of remote work on Fridays. On occasion, you may be required and must be available to work onsite on Fridays if necessitated by our center's policy and domain leadership or by your job requirements.</p><p>
Must have legal authorization to work in the United States.</p><p>
The salary for this position will be based upon the selected candidate's education and experience.</p><p>
Excellent benefits are available, for details, see http://benefits.umich.edu/</p><p><b>
Salary Information</b></p><p>
The general salary range for this position is $100,000 - $120,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and salaries that are currently established within the unit. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process.</p><p><b>
Organizational Statement on Harassment</b></p><p>
We believe all individuals deserve to be treated with respect and dignity and have the right to work in a professional atmosphere that promotes mutual respect and a safe space for collaboration. Any concerns shared with Individuals with Reporting Obligations in the Center for Academic Innovation will be reported to the Equity, Civil Rights, &amp; Title IX Office to be reviewed and addressed, and the Center for Academic Innovation encourages reporting of any forms of harassment including sexual and gender-based harassment.</p><h2 class="jobSectionHeader"><b>
Background Screening</b></h2><p>
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.<br>
Background checks will be performed in compliance with the Fair Credit Reporting Act.</p><h2 class="jobSectionHeader"><b>
Application Deadline</b></h2><p>
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.</p><h2 class="jobSectionHeader"><b>
Decision Making Process</b></h2><p>
Applications will be reviewed as received throughout the posting period and continue until the position is filled.</p><h2 class="jobSectionHeader"><b>
U-M EEO Statement</b></h2><p>
The University of Michigan is an equal employment opportunity employer.</p></div></div></div><p></p>
<br><div><div><h3 class="jobSectionHeader"><b>Job Opening ID</b></h3>
<div><p>268464</p>
</div></div><div><h3 class="jobSectionHeader"><b>Working Title</b></h3>
<div><p>Data Engineering Lead</p>
</div></div><div><h3 class="jobSectionHeader"><b>Job Title</b></h3>
<div><p>Data Engineer Lead</p>
</div></div><div><h3 class="jobSectionHeader"><b>Work Location</b></h3>
<div><p>Ann Arbor Campus</p>
</div></div><p>Ann Arbor, MI</p>
<div><h3 class="jobSectionHeader"><b>Modes of Work</b></h3>
<div><p>Hybrid
</p></div></div><div><h3 class="jobSectionHeader"><b>Full/Part Time</b></h3>
<div><p>Full-Time</p>
</div></div><div><h3 class="jobSectionHeader"><b>Regular/Temporary</b></h3>
<div><p>Regular</p>
</div></div><div><h3 class="jobSectionHeader"><b>FLSA Status</b></h3>
<div><p>Exempt</p>
</div></div><div><h3 class="jobSectionHeader"><b>Organizational Group</b></h3>
<div><p>Vp Acad Innovation</p>
</div></div><div><h3 class="jobSectionHeader"><b>Department</b></h3>
<div><p>Center for Academic Innovation</p>
</div></div><div><h3 class="jobSectionHeader"><b>Posting Begin/End Date</b></h3>
<div><p>9/10/2025 - 10/10/2025</p>
</div></div><div><h3 class="jobSectionHeader"><b>Salary</b></h3>
<div><p>$100,000.00 - $120,000.00</p>
</div></div><div><h3 class="jobSectionHeader"><b>Career Interest</b></h3>
<div><p>Information Technology</p></div></div></div>

Data Engineering Lead

Techlogix

<div><div><b>Core Skills:</b><br>
</div><ul><li>
Data engineer with a solid technical background and banking experience in data-intensive systems (&gt;7 years)<br>
</li><li>
Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow<br>
</li><li>
Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services<br>
</li><li>
Proficiency in relational SQL, Graph and NoSQL databases.<br>
</li><li>
Proficiency in Elastic Search and Couchbase databases<br>
</li><li>
In-depth skills in developing and maintaining ETL/ELT data pipelines.<br>
</li><li>
Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.<br>
</li><li>
Experience in workflow management tools such as Airflow, Oozie and CI/CD tools<br>
</li><li>
Data streaming solution in Kafka or Confluent Kafka<br>
</li><li>
Hands on experience in Google Big Query, Google Analytics &amp; Clickstream Data Model<br>
</li><li>
Reporting knowledge in Power Bl, Tableau, Qlik etc.<br>
</li><li>
Sound in Data Management Fundamentals and Data Architect, Modelling, Governance<br>
</li><li>
Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions.<br>
</li><li>
Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration<br>
</li><li>
Knowledge of Advance Analytics and Al tools</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div>
Minimum BS Degree in CS, IT or Engineering<br>
Banking Domain Knowledge will be a Plus.</div><h3 class="jobSectionHeader"><b><br>
Benefits</b></h3><div>
Competitive Salary, Medical OPD &amp; IPD, Life Insurance, EOBI</div></div>

Randstad Sourceright

<div><div>job details</div><div><div>
<p>Who we are:</p>
<p>Randstad Sourceright&rsquo;s global talent solutions provides instant access to experienced recruitment and contingent workforce management support by combining technology, analytics and deep global and local expertise. Our operations consist of the client aligned service delivery teams operating across RPO, MSP and Blended Workforce Solutions. We are certified as a &ldquo;great place to work&rdquo; for the last 3 consecutive years and are recognized as the best place to work by Glassdoor Group Objective The mission of the business intelligence team is to create a data-driven culture that empowers leaders to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency, and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading indicators to identify trends aimed at data-based decision-making easily.</p>
<p>Position Objective</p>
<p>As a Senior Data Engineer, you will be responsible for designing, architecting, and implementing robust data solutions in a cloud-based environment (GCP). You will partner with other data engineers and technical teams to ensure the availability, reliability, and performance of our data systems. Position Summary % Programming &amp; Code Writing Architect and build complex data pipelines using advanced cloud data technologies Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency Define industry best practices for building data pipelines Ensure data security, compliance, and governance standards are met. Partner with leadership team to define and implement agile and DevOps methodologies 20% Consulting &amp; Partnership Serve as subject matter expert and define data architecture and infrastructure requirements Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes 30% Troubleshooting &amp; Continuous Improvement Design and implement a robust data observability process Resolve escalated reporting requests and communicate proactively and timely Troubleshoot, and provide technical guidance to resolve issues related to misaligned or inaccurate data or data fields or new customer requirements Maintain new release, migration, and sprint schedules for software upgrades, enhancements, and fixes to aid with product evolution Write QA/QC Scripts to conduct first round of testing and partner with BA team for test validation for new developments prior to moving to production Use industry knowledge &amp; feedback to aid in the development of technology roadmap and future product(s) vision Document standard ways of working via QRGs, intranet pages, and video series 30% Senior activities Drive day-to-day development activities of development team in close collaboration with on-site and off-shore resources, scrum masters and product owners Bootstrapping a data engineering team at an early stage in the team&rsquo;s evolution Provide leadership on technical front in difficult situations facilitate contentious discussions, and report up when necessary Guide, mentor and coach offshore resources Provide input in forming a long-term data strategy 20% Education Master&rsquo;s degree in Computer Science / Information Technology or related field, highly preferred Experience Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions Extensive Experience with data lakes, ETL and data warehouses Advanced experience of building data pipelines Passion for building quality BI software Project Management and/or process improvement experience highly preferred Knowledge, Skills, and Abilities Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered. Any exposure to Kafka, Spark, and Scala will be an added advantage. Should demonstrate a strong understanding of OOPS concepts and methodologies Expert level understanding of data engineering Intrinsic motivation and problem-solving Proactive leadership, project management, time management, and problem-solving skills Demonstrated continuous improvement, process documentation, and workflow skills Extensive experience with data analysis , modeling, and data pipelining including data cleaning, standardizing, scaling, tuning, scheduling and deployment Experience composing detailed technical documentation and procedures for data models Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality Strong drive and commitment for delivering outstanding results Strong follow up and service orientation Supervisory Responsibility Provides guidance, leadership, or training to junior employees Directly responsible for supervising non-exempt, clerical, or office administrative personnel</p>
...</div></div><div><div>
<p>Who we are:</p>
<p>Randstad Sourceright&rsquo;s global talent solutions provides instant access to experienced recruitment and contingent workforce management support by combining technology, analytics and deep global and local expertise. Our operations consist of the client aligned service delivery teams operating across RPO, MSP and Blended Workforce Solutions. We are certified as a &ldquo;great place to work&rdquo; for the last 3 consecutive years and are recognized as the best place to work by Glassdoor Group Objective The mission of the business intelligence team is to create a data-driven culture that empowers leaders to integrate data into daily decisions and strategic planning. We aim to provide visibility, transparency, and guidance regarding the quantity and quality of results, activities, financial KPIs, and leading indicators to identify trends aimed at data-based decision-making easily.</p>
<p>Position Objective</p>
<p>As a Senior Data Engineer, you will be responsible for designing, architecting, and implementing robust data solutions in a cloud-based environment (GCP). You will partner with other data engineers and technical teams to ensure the availability, reliability, and performance of our data systems. Position Summary % Programming &amp; Code Writing Architect and build complex data pipelines using advanced cloud data technologies Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency Define industry best practices for building data pipelines Ensure data security, compliance, and governance standards are met. Partner with leadership team to define and implement agile and DevOps methodologies 20% Consulting &amp; Partnership Serve as subject matter expert and define data architecture and infrastructure requirements Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes 30% Troubleshooting &amp; Continuous Improvement Design and implement a robust data observability process Resolve escalated reporting requests and communicate proactively and timely Troubleshoot, and provide technical guidance to resolve issues related to misaligned or inaccurate data or data fields or new customer requirements Maintain new release, migration, and sprint schedules for software upgrades, enhancements, and fixes to aid with product evolution Write QA/QC Scripts to conduct first round of testing and partner with BA team for test validation for new developments prior to moving to production Use industry knowledge &amp; feedback to aid in the development of technology roadmap and future product(s) vision Document standard ways of working via QRGs, intranet pages, and video series 30% Senior activities Drive day-to-day development activities of development team in close collaboration with on-site and off-shore resources, scrum masters and product owners Bootstrapping a data engineering team at an early stage in the team&rsquo;s evolution Provide leadership on technical front in difficult situations facilitate contentious discussions, and report up when necessary Guide, mentor and coach offshore resources Provide input in forming a long-term data strategy 20% Education Master&rsquo;s degree in Computer Science / Information Technology or related field, highly preferred Experience Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions Extensive Experience with data lakes, ETL and data warehouses Advanced experience of building data pipelines Passion for building quality BI software Project Management and/or process improvement experience highly preferred Knowledge, Skills, and Abilities Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered. Any exposure to Kafka, Spark, and Scala will be an added advantage. Should demonstrate a strong understanding of OOPS concepts and methodologies Expert level understanding of data engineering Intrinsic motivation and problem-solving Proactive leadership, project management, time management, and problem-solving skills Demonstrated continuous improvement, process documentation, and workflow skills Extensive experience with data analysis , modeling, and data pipelining including data cleaning, standardizing, scaling, tuning, scheduling and deployment Experience composing detailed technical documentation and procedures for data models Ability to prioritize and manage multiple projects, tasks, and meeting deadlines while maintaining quality Strong drive and commitment for delivering outstanding results Strong follow up and service orientation Supervisory Responsibility Provides guidance, leadership, or training to junior employees Directly responsible for supervising non-exempt, clerical, or office administrative personnel</p>
</div></div><div><h3 class="jobSectionHeader"><b>share this job.</b></h3></div></div>

data engineering team lead

Virtusa Lifespaces India Pvt Ltd

<div>10 years of hands-on experience in Spark, Kafka, Python, Hive, Snowflake, Databricks, AWS
<br>
Lead architecture of big data platforms for enterprise-scale analytics
<br>
Develop, test, and optimize complex ETL workflows
<br>
Collaborate with Data Scientists and Business SMEs on ML pipelines
<br>
Enforce data quality, lineage, and observability best practices
<br>
Mentor engineers and contribute to data democratization strategy
<br>
Excellent problem-solving and troubleshooting skills.
<br>
Good to have TM Vault core banking knowledge,
<br>
Strong communication and collaboration skills.
<br>
Banking Domain knowledge is must<div><p><b>
About Virtusa</b></p>
<p>
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

Digital Data Platform Engineering Lead

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Monday 30 March 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
The purpose of the Engineering Lead is to work with the Lab Product Owner to provide effectively leadership and management of the teams in their Labs. Specifically, this requires setting the vision, mobilisation of the teams required to deliver it and ensuring effective delivery execution. With the Lab PO they are also responsible for all operational management activities including workforce plans, risk and issue mitigation and cost management. There is a particular focus on the ways of working and overall engineering experience, where the Engineering Lead is responsible for creating the right environment for effective delivery which will include the identification of blockers and action plans to remove them.<div></div><div>
Job Description</div><ul><li>
ABOUT THIS OPPORTUNITY&hellip;<br>
A fantastic opportunity has arisen for an Engineering Lead within Payments Services Platform at Lloyds Banking Group, to head up the Swift Lab and lead the core engineering teams within those, influencing our technical landscape for the future. You'll be responsible for further developing and delivering transformational change for our key payments data services, supporting our customers and broader payments data ecosystem across the Group and play a pivotal role in shaping and driving the vision for the lab and within Payments Services. This a great opportunity for an established and well-seasoned leader in engineering who enjoys a challenge, taking-on large-scope transformative change and understands the impact of working for a Group supporting its customers and critical UK payments infrastructure.<br>
ABOUT US&hellip;<br>
We&rsquo;re on an exciting journey and there couldn&rsquo;t be a better time to join us. The investments we&rsquo;re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive.<br>
WHAT YOU&rsquo;LL NEED&hellip;<br>
To be considered for and successful in this role, you will need to be able to demonstrate the below:<br>
Strong Engineering Leadership experience:<br>
<ul><li></li></ul>
Extensive engineering leadership experience with a track-record of providing software engineering and data engineering oversight, technical and people leadership across multiple teams and of having taken responsibility for developing and successfully delivering change management plans that support the organisation's overall data strategy.<br>
<ul><li></li></ul>
Being a visionary leader with a track-record of being a strong advocate for technology transformation and engineering excellence especially around data<br>
<ul><li></li></ul>
Track-record of developing strategic data solutions to long-term business needs by anticipating complex issues, challenges, and opportunities.<br>
<ul><li></li></ul>
Understanding the resilience requirements for critical business services and important business services.<br>
<ul><li></li></ul>
Familiarity with processes and protocols for maintaining and recovering critical services when things go wrong.<br>
<ul><li></li></ul>
Familiarity with key aspect of data including building data products, data governance, data strategy, data architecture and data monetisation.<br>
Team Development, Mentoring, Coaching:<br>
<ul><li></li></ul>
Successful in building a high-performing team culture and in recognising and coaching talent.<br>
<ul><li></li></ul>
A passion for team development; allowing colleagues to develop in different/new technologies and mature in ways of working, resulting in a successful team.<br>
<ul><li></li></ul>
The ability to inspire delivery whilst encouraging simplicity and developing confidence &amp; trust across the teams you lead.<br>
<ul><li></li></ul>
A relentless focus on delivering for customers and continually challenging the status quo to go further and faster is important. This includes learning from setbacks and turning them into successes.<br>
And any experience of these would be really useful:<br>
<ul><li></li></ul>
Previous experience within engineering in payments and/or within financial services especially around data would be advantageous but not essential.<br>
ABOUT WORKING FOR US&hellip;<br>
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. And it&rsquo;s why we especially welcome applications from under-represented groups. We&rsquo;re disability confident.<br>
So if you&rsquo;d like reasonable adjustments to be made to our recruitment processes, just let us know.<br>
WE ALSO OFFER A WIDE-RANGING BENEFITS PACKAGE, WHICH INCLUDES&hellip;<br>
<ul><li></li></ul>
A generous pension contribution of up to 15%<br>
<ul><li></li></ul>
An annual bonus award, subject to Group performance<br>
<ul><li></li></ul>
Share schemes including free shares<br>
<ul><li></li></ul>
Benefits you can adapt to your lifestyle, such as discounted shopping<br>
<ul><li></li></ul>
30 days&rsquo; holiday, with bank holidays on top<br>
<ul><li></li></ul>
A range of wellbeing initiatives and generous parental leave policies<br>
Want to do amazing work, that&rsquo;s interesting and makes a difference to millions of people? Join our journey!</li></ul></div>

Engineering Lead - Payments

Apple

<div>Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. Are you an enthusiastic Data Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing &amp; Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. The GSSM Solutions team is seeking a Data Architect to lead complex, enterprise-scale data initiatives. In this role, you will define scalable data strategies, build robust enterprise data models, and establish governance frameworks and reference architectures that shape how we manage and use data across the organization. You'll work closely with cross-functional teams to translate evolving business needs into high-impact solutions, while leveraging GenAI tools to accelerate engineering productivity and deliver modern, AI-ready platforms.
<br>
<br>
<b>Description</b><br>
<br>
Key Responsibilities - Define and evolve the enterprise-wide data architecture strategy, including modeling, governance, metadata, lineage, and data access standards. - Design and deliver reference architectures, reusable frameworks, and scalable patterns using ER modeling tools and modern data stack principles. - Collaborate across Supply Chain, Procurement, Finance, and Operations to deeply understand business problems and convert them into technical solutions. - Provide strategic guidance and hands-on oversight of pipeline design, performance tuning, and data flow architecture, ensuring systems are scalable, secure, and future-proof. - Lead architecture reviews and mentor engineering teams on best practices in data modeling, observability, reliability, and compliance. - Integrate Generative AI tools (e.g., for documentation, auto-generating metadata catalogs, and prototyping data flows) to accelerate engineering workflows and enhance productivity. - Work with product and analytics teams to shape the data ecosystem in alignment with GSSM&rsquo;s business strategy and global reporting needs. - Champion data quality, governance, and platform usability, ensuring data systems are trusted, accessible, and aligned with privacy and compliance standards.
<br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related technical field
</li><li>8+ years of experience in data engineering, with 3+ years focused on data architecture or technical leadership roles in enterprise settings
</li><li>Strong expertise in data modeling (relational and dimensional), schema design, and enterprise data architecture patterns
</li><li>Deep knowledge of distributed data platforms and tools (e.g., Spark, Kafka, Iceberg, Flink, Airflow, Kubernetes, Snowflake, BigQuery)
</li><li>Proficiency in at least one language (e.g., Scala, Java, Python) and strong SQL skills
</li></ul><br>
<b>Preferred Qualifications</b><br>
<ul><li>
Experience designing enterprise-scale data solutions across multiple business functions like supply chain, finance, and procurement
</li><li>Hands-on understanding of pipeline architecture, observability, and system performance optimization
</li><li>Strong grasp of data privacy, governance, and security practices, including anonymization and compliance
</li><li>Ability to integrate and apply GenAI tools into engineering workflows for prototyping, documentation, and solution design
</li><li>Excellent communication, collaboration, and stakeholder management skills across technical and non-technical audiences
</li><li>Familiarity with data environments in domains such as supply chain, procurement, or enterprise systems is a strong plus
</li><li>Exposure to machine learning and predictive analytics concepts and their practical use in data engineering pipelines
</li>Strong storytelling and executive communication skills, able to explain complex systems to diverse audiences<br>
<li>
</li></ul><br>
<br>
Submit CV</div>

Data Engineer - Global Sourcing & Supply Management (GSSM) Solutions

MGrow Education

<p>Artefact is a global data and AI consulting services company that helps organizations transform data into tangible business results.</p><p>We're looking for an experienced and dynamic <b>Data Lead</b> to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams.</p><p><b>Responsibilities</b></p><p>&#9679; Design and develop robust, scalable, and secure data architectures that meet business requirements.</p><p>&#9679; Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).</p><p>&#9679; Define and enforce data governance, quality, and security standards.</p><p>&#9679; Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.</p><p>&#9679; Evaluate new technologies and tools to improve our data infrastructure and practices.</p><p>&#9679; Create and maintain detailed documentation of data architecture, data flows, and processes.</p><p>&#9679; Provide technical leadership and mentorship to junior team members.</p><p>&#9679; Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.</p><p><b>Qualifications</b></p><p>&#9679; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</p><p>&#9679; Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role.</p><p>&#9679; Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP).</p><p>&#9679; Solid understanding of cloud-native data services such as:</p><p>&#9675; <b>AWS:</b> Redshift, S3, Glue, Athena, and EMR.</p><p>&#9675; <b>Azure:</b> Synapse Analytics, Data Lake, Data Factory, and Databricks.</p><p>&#9675; <b>GCP:</b> BigQuery, Cloud Storage, Dataflow, and Dataproc.</p><p>&#9679; Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.</p><p>&#9679; Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.</p><p>&#9679; Excellent problem-solving skills and the ability to work independently as well as part of a team.</p><p>&#9679; Strong communication and collaboration skills.</p><p><b>Preferred Skills</b></p><p>&#9679; Experience with <b>DevOps practices and tools</b> (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes).</p><p>&#9679; Knowledge of <b>data governance tools and practices</b>.</p><p>&#9679; Certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer).</p><p>Job Types: Full-time, Permanent</p><p>Benefits:</p><ul><li>Cell phone reimbursement</li><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Application Question(s):</p><ul><li>Do you have certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer). Please mention</li><li>How many years of experience do you have  as a Data Architect/Data Lead ?</li></ul><p>License/Certification:</p><ul><li>Azure Certification (Required)</li><li>AWS Certification (Required)</li></ul><p>Work Location: In person</p>

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