data engineering lead

Accenture

<div>
 As an Oracle Data Conversion Lead at Accenture, you will be at the forefront of designing, developing, and maintaining advanced data solutions to support data generation, collection, and processing. Your role will involve creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to enable seamless data migration and deployment across systems.
 
 
 In this position, you will act as a subject matter expert, leading and managing teams to deliver high-quality results. You will be responsible for driving team decisions, collaborating with multiple stakeholders, and contributing to strategic initiatives. Your expertise will be instrumental in solving complex challenges for your immediate team and across various teams.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and implement innovative data solutions to enhance operational efficiency and scalability.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure high performance, reliability, and data quality.
 
 </li>
 <li>
 Lead ETL processes for seamless data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies that align with business objectives.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement necessary improvements to maintain high standards.
 
 </li>
 <li>
 Stay updated with industry trends, emerging technologies, and best practices to continuously improve data engineering practices.
 
 </li>
 <li>
 Mentor and guide team members, fostering a culture of collaboration and continuous learning.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Access, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong leadership and collaboration skills to manage teams and engage with multiple stakeholders effectively.
 
 </li>
 <li>
 Excellent problem-solving abilities to deliver innovative solutions across diverse teams and projects.
 
 
 
 </li>
</div>

Oracle Data Conversion lead- Associate Manager

<div>
 
 Overview:
 
 
 
 As an Oracle Data Conversion Lead at Accenture, you will play a pivotal role in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. Your responsibilities will include creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to facilitate seamless data migration and deployment across systems.
 
 
 You will act as a subject matter expert in Oracle Data Integrator (ODI) and Data Migrations, leveraging your expertise to guide and manage teams effectively. You will be responsible for driving team decisions, collaborating with multiple teams, and contributing to strategic initiatives while delivering innovative solutions to complex challenges.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Lead the design and implementation of data solutions that enhance operational efficiency and scalability.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective solutions.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement improvements to maintain high standards.
 
 </li>
 <li>
 Stay abreast of industry trends, emerging technologies, and best practices in data engineering and Oracle Data Integration.
 
 </li>
 <li>
 Provide mentorship and guidance to team members, fostering a culture of collaboration and continuous improvement.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong problem-solving skills with the ability to provide solutions across multiple teams.
 
 </li>
 <li>
 Excellent communication and leadership skills to manage and collaborate effectively with diverse teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Lead - Associate Manager

Carglass

<div>Carglass er en international virksomhed og Danmarks f&oslash;rende specialist i reparation og udskiftning af bilruder. Vi br&aelig;nder for god service og har et team af fantastiske medarbejdere, som er effektive, yder god r&aring;dgivning og har et godt f&aelig;llesskab p&aring; tv&aelig;rs af virksomhedens forskellige afdelinger .
Job Title: Data Lead, Nordics
 
Location: Copenhagen, Stockholm, Oslo, Turku
 
Reports to: CIO, Nordics
About the Role - Make data the way we make decisions
 
Carglass is unifying four country solutions into one modern, global data platform. We&rsquo;re looking for a Nordic Data Lead who can both build (data engineering at heart) and lead (be the evangelist who lifts our data maturity). You&rsquo;ll architect the next-gen data stack, deliver tangible analytics value, and partner with senior leaders to embed data driven insights in everyday decisions.
Key Responsibilities - what you&rsquo;ll do
Own the Nordic data platform journey:
<ul><li>Lead the migration of four existing Nordic solutions into a single, enterprise-grade data platform on our global architecture.
</li><li>Design and implement scalable data models and warehouses, orchestrate robust ETL/ELT pipelines, and set the golden path for reuse.
</li><li>Define and drive data quality rules, lineage, and documentation; champion governance aligned to global standards.
</li></ul>Ship analytics that change outcomes:
<ul><li>Deliver high-value data models, semantic layers, and dashboards; set standards for versioning, testing, and release management.
</li><li>Partner across the organisation to convert questions into trustworthy metrics and actionable KPIs.
</li></ul>Be the data evangelist:
<ul><li>Coach analysts and business users; run enablement on data literacy and Power BI best practices.
</li><li>Promote a &ldquo;metrics over opinions&rdquo; culture and a consistent business glossary across the Nordics.
</li></ul>Collaborate across the group:
<ul><li>Work hand-in-hand with other Carglass companies outside the Nordics and our parent company to reuse patterns, align to global policies, and accelerate delivery with shared assets.
</li><li>Engage senior stakeholders; turn strategy into a delivery roadmap with clear value milestones.
</li></ul>What We&rsquo;re Looking For - What you&rsquo;ll bring
<ul><li>Data engineering depth (you&rsquo;ve built production-grade data platforms) before using your strong skills in SQL, data modelling, ETL/ELT patterns, orchestration, CI/CD for data, testing, observability, and cost/performance tuning.
</li><li>Experience with our global tech-stack: Snowflake, Snowflake OpenFlow, dbt, AWS SDLF, Erwin, PowerBI.
</li><li>Analytics: delivered enterprise Power BI datasets, reports, DAX, row-level security, telemetry, and governance at scale.
</li><li>Data governance mindset: catalogue/lineage, definitions, quality SLAs, and pragmatic controls with business ownership.
</li><li>Stakeholder leadership: confident with SLT and country GMs, able to translate business goals into data roadmaps and releases.
</li><li>Culture carrier: clear communicator, coach, and change agent&mdash;comfortable influencing without authority.
</li><li>Nice-to-haves: experience with cross-country migrations, ML/AI exposure, and experience working with multinational teams.
</li><li>Experience managing vendors or delivery partners in multi-stakeholder environments.
</li><li>Regular travel across the Nordics, with occasional travel to other European countries.
</li><li>Fluency in English and at least one Nordic language is required.
</li></ul>Why Join Us?
You&rsquo;ll shape the Nordic data platform end‑to‑end &mdash; from architecture and roadmap to ways of working &mdash; and play a pivotal role in one of the most impactful transformation programs in our region. You&rsquo;ll work within a supportive global data community while retaining autonomy to deliver tangible impact locally.
If you thrive on building meaningful platforms, delivering real business value, and creating lasting change across multiple countries and business domains, we&rsquo;d love to hear from you.
-
Carglass&reg; Danmark er en del af den internationale koncern Belron&reg;, som er f&oslash;rende eksperter inden for reparation og udskiftning af bilruder. Belron&reg; opererer i 40 lande og har p&aring; verdensplan mere end 30.000 medarbejdere. Vi betjener 127.000 kunder hver uge verden over og skifter &aring;rligt 9,3 millioner ruder. I gennemsnit reparerer vi 8.500 stenslag hver dag, og vi udf&oslash;rer et job hvert tredje sekund d&oslash;gnet rundt.
Belron&reg; og Carglass&reg; topledelse har et klart formuleret form&aring;l for deres koncern: &quot; Making a memorable difference with care ,&quot; hvilket understreger, at der altid findes et oprigtigt &oslash;nske og et kontinuerligt fokus p&aring; at hj&aelig;lpe deres kunder p&aring; bedst mulig vis. At v&aelig;re en del af Carglass er derfor ogs&aring; at give tilbage til samfundet &ndash; lokalt og globalt. Vi &oslash;nsker at udvikle os, s&aring; vi bidrager til en gr&oslash;nnere verden, og vi h&aring;ber at du vil v&aelig;re med.</div>

Data Lead, Nordics

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

Blackrock Neurotech

<div>Job Title: Principal Systems Engineer
Company: Adraxe
Job Type: Full-Time
Location: Plymouth, MN (Hybrid)<h1 class="jobSectionHeader">
Adraxe - Company Overview</h1>
Adraxe Corporation is an innovative medical device startup focused on the design, development, and launch of breakthrough, minimally invasive neuromodulation solutions to address unmet patient needs. The results from the first clinical epilepsy patients are encouraging and we are at the important stage of hiring key personnel, to accelerate our progress and starting our full product and clinical development. Our goal is to revolutionize neurological care with life-compatible, closed-loop neuromodulation therapies, starting with epilepsy. 
About the role 
We are seeking a highly experienced and technically driven Principal Systems Engineer to lead systems engineering for a closed-loop epilepsy therapy system, with primary emphasis on neural interface performance, end-to-end system integration, full-stack data flow, and optimization of seizure detection algorithms within a regulated (PMA) development framework. The system includes an active implantable medical device (AIMD), custom external instruments, clinician and patient applications, and a secure cloud platform. 
The ideal candidate is a systems engineer who is strongest at the intersection of neural signals + real world data + integrated system behavior who can reason from electrode physics to algorithm metrics to telemetry and cloud pipelines, and knows how to turn that into testable requirements and credible verification evidence. The ideal candidate;<ul><li>
Has owned or heavily influenced signal chain and algorithm performance in embedded, constrained systems and is comfortable building evaluation frameworks and test plans that reflect reality, not ideal lab conditions.</li><li>
Understands that &ldquo;algorithm performance&rdquo; isn&rsquo;t just a model score&mdash;it&rsquo;s latency, robustness, power, reliability, data quality, and user workflow.</li><li>
Can lead cross-functional teams through integration complexity with discipline appropriate for PMA.</li></ul> 
This position will report directly to the VP of Engineering, will have significant input into Adraxe strategy and planning, and will collaborate closely with all technical disciplines at Adraxe. 
What you'll do 
Systems Architecture and Technical Leadership<ul><li>
Define and maintain the system architecture spanning implant, external instruments, clinician/patient applications, and cloud services.</li><li>
Lead trade studies (power, latency, telemetry, sensing/stimulation performance, reliability, safety, cybersecurity) and drive decisions with cross-functional alignment.</li><li>
Establish and manage interfaces (electrical, RF/telemetry, APIs, data models, workflow integrations) and ensure compatibility across subsystems.</li><li>
Guide development of closed-loop control concepts (sensing detection/classification therapy delivery adaptation), including system-level performance metrics and constraints.</li></ul>
Neural Interface &amp; Signal Chain Ownership<ul><li>
Develop deep system-level understanding of the neural interface (electrode-tissue interface, sensing modalities, impedance behavior, artifact sources, saturation, noise, drift) and how it impacts detection and therapy performance.</li><li>
Define and manage requirements for the signal chain (front-end analog, ADC, filtering, sampling, dynamic range, stimulation artifact handling, telemetry constraints) and ensure traceability to detection performance and safety.</li><li>
Partner with hardware, firmware, and clinical teams to characterize signal quality across populations and conditions (movement, sleep, medication changes, electrode maturation).</li></ul>
Seizure Detection Algorithm Performance &amp; Optimization<ul><li>
Translate clinical needs into measurable algorithm performance metrics (e.g., sensitivity, false alarm rate, latency to detection, time-in-warning, robustness to artifacts) and establish acceptance criteria.</li><li>
Drive system-level optimization across algorithm + firmware + data pipeline to meet performance targets under real device constraints (compute, memory, power, latency).</li><li>
Lead closed-loop performance analyses that connect sensing detection therapy behavior, including edge cases and failure modes.</li><li>
Coordinate creation of curated datasets, labeling strategies, ground-truth definitions, and evaluation protocols (including subgroup and scenario performance).</li></ul>
End-to-End Data Flow &amp; Observability (Implant External Apps Cloud)<ul><li>
Define and validate the complete system data flow: on-device data generation, event markers, compression/packetization, telemetry, external device handling, app storage/display, cloud ingestion, processing, and analytics.</li><li>
Ensure data integrity across the lifecycle: time synchronization, identity mapping, provenance, audit trails, retention, and traceability required for regulated evidence.</li><li>
Specify and validate observability features: logging, metrics, error reporting, trace IDs, and tools to support troubleshooting, clinical workflows, and post-market surveillance.</li></ul>
System Integration &amp; Test Leadership (PMA-Grade Evidence)<ul><li>
Own the integrated system test strategy with emphasis on realistic, high-value integration coverage (HIL/SIL, simulated physiology, induced artifacts, telemetry stress, app/cloud failure modes).</li><li>
Define system-level test methods and rigs to validate sensing and detection performance under representative conditions (including stimulation artifact conditions if applicable).</li><li>
Drive integration readiness criteria, defect triage workflows, and release gating for end-to-end functionality.</li><li>
Ensure traceability from user needs and hazards to verification evidence across the integrated system.</li></ul>
Safety, Risk, and Performance Boundaries for Closed-Loop Operation<ul><li>
Lead identification of hazards and risk controls related to detection performance, therapy timing, and data integrity (e.g., missed detection, false positives, telemetry dropouts, timebase drift, data corruption).</li><li>
Define safe bounds and fallback behaviors (therapy limits, safe modes, detection confidence gating, watchdogs) and verify they work across system states and failures.</li></ul>
Verification, Validation, and Test Strategy<ul><li>
Lead design verification testing (DVT) and verification planning to ensure compliance with medical device standards and safety requirements.</li><li>
Ensure designs meet relevant standards (e.g., IEC 60601, ISO 14708, ISO 14971, EMI/EMC compliance).</li><li>
Define end-to-end system verification and validation strategy across implant + external + applications + cloud, including integration and system testing.</li><li>
Develop test environments (benchtop rigs, simulators, HIL/SIL as appropriate, clinical workflow simulations)</li><li>
Data-driven verification of sensing/detection/therapy performance (as applicable)</li><li>
Drive design reviews, ensure readiness for formal V&amp;V, and support PMA documentation and inspection readiness.</li></ul>
Cross-Functional Leadership and Mentorship<ul><li>
Lead technical alignment across firmware, hardware, algorithms, app engineering, cloud, clinical, quality, regulatory, and manufacturing.</li><li>
Mentor systems engineers and establish best practices for systems engineering rigor, documentation quality, and integration readiness.</li><li>
Communicate clearly with stakeholders, translating complex technical tradeoffs into decision-ready options and documented outcomes.</li></ul>
Qualifications 
Minimum Qualifications are:<ul><li>
B.S. in Systems, Computer Science, Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or related field.</li><li>
10+ years (or equivalent) experience in systems engineering for complex electromechanical and software-intensive products; medical device experience strongly preferred.</li><li>
Demonstrated experience developing implantable and/or active therapeutic devices (e.g., neuromodulation, cardiac rhythm management, or similar).</li><li>
Experience with implantable sensing modalities and neural signals (e.g., iEEG/ECoG/SEEG or related), including artifact sources and long-term recording challenges.</li></ul>
Strong command of:<ul><li>
Requirements development, decomposition, and traceability</li><li>
System architecture and interface definition (ICDs)</li><li>
System integration and V&amp;V planning and execution for distributed systems</li><li>
Risk management and safety engineering in regulated contexts</li><li>
Proven ability to lead through influence across multi-disciplinary teams and drive cross-functional execution.</li><li>
Strong written and verbal communication skills, including the ability to produce clear, inspection-ready technical documentation.</li></ul> 
Preferred Qualifications<ul><li>
M.S. or Ph.D. in Electrical Engineering, Biomedical Engineering, or related field.</li><li>
Experience supporting PMA development (design controls, DHF evidence, traceability, and system V&amp;V evidence packages).</li><li>
Experience with seizure detection/classification and/or robust biosignal detection methods in real-world settings.</li><li>
Experience designing and validating end-to-end data pipelines for regulated products (time sync, provenance, auditability, retention, access control).</li><li>
Strong background in system integration testing for distributed systems (embedded + apps + cloud), including SIL/HIL, simulation, and test automation.</li><li>
Working knowledge of cybersecurity engineering for connected medical systems (threat modeling, encryption, key management, vulnerability management).</li></ul> 
Physical and Other Requirements<ul><li>
This position is located in Plymouth MN.</li><li>
This position is a hybrid position with an expectation of roughly 75% in office and 25% remote work.</li><li>
This position requires approximately 15% Travel including international travel.</li></ul></div>

Adraxe: Principal Systems Engineer

Confidential Careers

<div>
 
 
 Role Summary
 
 
 
 The CTO will lead the company&rsquo;s technology vision, strategy, and execution, ensuring scalable, secure, and high-performing platforms to support rapid growth in the fintech space. The role requires deep expertise in financial technologies, digital lending/payment systems, and regulatory-compliant architectures, with a strong focus on automation, speed-to-market, and customer experience.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and execute the overall
 
 technology strategy
 
 aligned with business goals and growth plans
 </li>
 <li>
 Lead the development of
 
 scalable, secure, and high-availability fintech platforms
 
 (e.g., lending, payments, wallets)
 </li>
 <li>
 Oversee
 
 end-to-end architecture
 
 , including cloud infrastructure, APIs, and microservices
 </li>
 <li>
 Ensure full compliance with
 
 regulatory requirements
 
 (e.g., SAMA, PCI-DSS, data privacy)
 </li>
 <li>
 Drive
 
 automation and system optimization
 
 , enabling fast onboarding and near real-time transaction processing
 </li>
 <li>
 Lead and scale high-performing
 
 engineering, data, and IT teams
 
 </li>
 <li>
 Manage relationships with
 
 technology vendors, partners, and regulators
 
 </li>
 <li>
 Implement best practices in
 
 cybersecurity, data protection, and risk management
 
 </li>
 <li>
 Collaborate with Product and Business teams to deliver
 
 customer-centric digital solutions
 
 </li>
 <li>
 Oversee
 
 technology budgeting, cost optimization, and ROI tracking
 
 </li>
 </ul>
 
 
 
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Engineering, or related field
 
 </li>
 <li>
 
 10&ndash;15+ years of experience
 
 in technology leadership roles, with a strong focus on fintech
 </li>
 <li>
 Proven experience in
 
 digital lending, payments, BNPL, or financial platforms
 
 </li>
 <li>
 Strong understanding of
 
 fintech regulations and compliance frameworks
 
 </li>
 <li>
 Hands-on experience with
 
 cloud platforms
 
 (AWS, Azure, or GCP) and modern architectures (microservices, APIs)
 </li>
 <li>
 Experience building
 
 highly automated platforms
 
 with minimal manual intervention
 </li>
 <li>
 Strong knowledge of
 
 data architecture, analytics, and AI-driven decisioning
 
 is a plus
 </li>
 <li>
 Demonstrated ability to
 
 scale systems and teams in fast-paced environments
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in
 
 B2C fintech platforms
 
 , especially micro-lending or instant loan applications
 </li>
 <li>
 Background in delivering
 
 fast onboarding and disbursement journeys (e.g., loans within minutes)
 
 </li>
 </ul>
 
 
</div>

Chief Technology Officer (Fintech)

Search 10000+ Data engineering lead jobs near you this May. New roles added regularly across leading industries. Apply today.

10000 data engineering lead jobs Near Me

Oracle Data Conversion lead- Associate Manager

Oracle Data Conversion Lead - Associate Manager

Data Lead, Nordics

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AI Architect - Riyadh,KSA

Adraxe: Principal Systems Engineer

Chief Technology Officer (Fintech)