data platform engineer

Honor

<div><div><p>Honor Technology's mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor's growing portfolio includes its consumer care brand, Home Instead, Inc., the world's leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.</p>
<p>
Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.</p>
<p>
Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.</p></div><h3 class="jobSectionHeader"><b>
About Us</b></h3>
<p>
Our mission is simple&mdash;we're changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we're solving complex problems that don't come with a playbook. Sound exciting? If you're someone who shares our core values&mdash;Own the Outcome, Solve with Empathy, and Act with Honor&mdash;let's talk.</p>
<p>
Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning.</p>
<p>
At Honor, we're not building technology for technology's sake. We're building technology that helps people deliver better care.</p>
<h3 class="jobSectionHeader"><b>
The Opportunity</b></h3>
<p>
We're looking for a Staff Data Engineer to help shape the future of Honor's data platform.</p>
<p>
This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization.</p>
<p>
This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<h4 class="jobSectionHeader"><b>Build and Evolve Our AWS-Native Data Platform</b></h4>
<ul><li>Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.</li>
<li>Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads.</li>
<li>Define and implement Infrastructure-as-Code standards using AWS CDK.</li>
</ul><h4 class="jobSectionHeader"><b>Own Data Orchestration and Data Engineering Foundations</b></h4>
<ul><li>Design and operate scalable orchestration frameworks using Airflow and FiveTran.</li>
<li>Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt.</li>
<li>Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation.</li>
</ul><h4 class="jobSectionHeader"><b>Enable Trusted Data Access Through Governance and AI Readiness</b></h4>
<ul><li>Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use.</li>
<li>Help define how both employees and AI-powered systems safely access and leverage company data.</li>
<li>Build the foundations that enable self-service analytics and future agentic workflows across the organization.</li>
</ul><h4 class="jobSectionHeader"><b>Drive Reliability, Observability, and Operational Excellence</b></h4>
<ul><li>Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices.</li>
<li>Build scalable data quality frameworks that ensure confidence in business-critical data.</li>
<li>Continuously improve platform reliability, performance, and cloud cost efficiency.</li>
</ul><h4 class="jobSectionHeader"><b>Lead Through Technical Influence and Partnership</b></h4>
<ul><li>Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data.</li>
<li>Provide technical leadership, architectural guidance, and mentorship across the data organization.</li>
<li>Influence long-term platform strategy and engineering best practices across multiple teams.</li>
</ul><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3>
<ul><li>8&ndash;10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS.</li>
<li>Proven track record leading complex technical initiatives and influencing architecture across teams.</li>
<li>Strong software engineering fundamentals and experience building production-grade systems.</li>
<li>Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design.</li>
<li>Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization.</li>
<li>Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems.</li>
<li>Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact.</li>
<li>Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority.</li>
<li>Passion for building platforms that empower others and scale organizational impact.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK.</li>
<li>Experience designing data governance, metadata, lineage, or self-service data platforms.</li>
<li>Experience supporting AI, machine learning, or agentic workflow initiatives.</li>
<li>Experience leading platform modernization efforts in high-growth environments.</li>
<li>Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager.</li>
</ul><h3 class="jobSectionHeader"><b>What's Next?</b></h3>
<p>
Sound like a fit? Apply below!</p>
<p>
#LI-AN1</p><div><p>
At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.</p>
<p>
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.</p></div></div>

Staff Data Platform Engineer

Signet Jewelers

<div><p>We have many opportunities available on our other career site pages. Click here to link to our careers page!</p><p></p><p>
Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People &ndash; and the love their actions inspire &ndash; are what drive us. We&rsquo;re not only proud of the love we inspire outside our walls, we&rsquo;re especially proud of the diversity, inclusion and equity we&rsquo;re inspiring inside. There are dynamic career paths awaiting you &ndash; rewarding opportunities to impact the lives of others and inspire love. Join us!</p><p></p><p><b>
Customer Data Platform Data Engineer</b></p><p><b>
Location: Dallas, TX or Akron, OH (Hybrid)</b></p><p></p><p><b>
POSITION SUMMARY</b>:</p><p>
We are seeking a highly skilled Data Engineer with deep expertise in SQL, Python, and data modeling, and strong experience designing solutions within the Adobe Experience Platform (AEP) and Real-Time Customer Data Platform (RTCDP) ecosystem. This role is critical to building scalable, reliable, and performant data pipelines that power customer analytics, personalization, and activation use cases.</p><p>
The ideal candidate combines strong technical execution with thoughtful solution design, collaborating closely with analytics, marketing, and engineering teams to translate business requirements into robust data architectures.</p><p></p><p><b>
RESPONSIBILITIES:</b></p><ul><li>
Design, build, and maintain scalable data pipelines to ingest, transform, and curate data within Adobe AEP and RTCDP.</li><li>
Develop and optimize complex SQL queries and data transformations for large-scale datasets.</li><li>
Design and maintain data models (conceptual, logical, and physical) that enable efficient analytics, segmentation, and activation use cases.</li><li>
Experience working with AWS data services such as S3, Redshift, Glue, and related tooling, including building and managing data pipelines from AWS-based source systems into Adobe AEP and RTCDP.</li><li>
Architect end-to-end solution designs leveraging AEP components such as XDM schemas, datasets, identities, profiles, and segmentation.</li><li>
Ensure high data quality, consistency, and governance across systems by implementing validation, monitoring, and error-handling mechanisms.</li><li>
Collaborate with business stakeholders, architects, and downstream consumers to understand requirements and deliver scalable data solutions.</li><li>
Tune performance and optimize pipelines for real-time and batch workloads within RTCDP.</li><li>
Document data architecture, data flows, and operational procedures.</li><li>
Support integrations with upstream and downstream systems including CRM, web/mobile, and other MarTech and analytics platforms.</li><li>
Demonstrated experience implementing data processing, automation, validation, and orchestration logic.</li><li>
Follow best practices for security, privacy, and compliance (PII handling, consent, and identity resolution).</li></ul><p></p><p><b>
POSITION QUALIFICATIONS</b>:</p><ul><li>
Expert-level SQL skills, with experience writing and optimizing complex queries.</li><li>
Strong Python programming experience for data engineering use cases.</li><li>
Proven experience as a Data Modeler, including dimensional and analytical data modeling.</li><li>
Hands-on experience designing and implementing solutions in:<ul><li>
Adobe Experience Platform (AEP)</li><li>
Adobe Real-Time Customer Data Platform (RTCDP)</li></ul></li><li>
Experience with cloud data platforms (e.g., Snowflake, BigQuery, Azure, or AWS).</li><li>
Solid understanding of XDM schemas, datasets, identity stitching, profiles, and segmentation.</li><li>
Experience building batch and real-time data pipelines.</li><li>
Strong problem-solving and analytical skills.</li><li>
Ability to communicate technical concepts clearly to both technical and non-technical audiences.</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Familiarity with streaming or event-based data architectures.</li><li>
Experience with data orchestration tools and CI/CD practices.</li><li>
Knowledge of customer data, marketing technology, and personalization use cases.</li><li>
Prior experience in enterprise-scale data environments.</li></ul><p></p><p><b>
BENEFITS &amp; PERKS:</b></p><ul><li>
Competitive healthcare, dental &amp; vision insurance</li><li>
401(k) matching after one year of employment</li><li>
Generous time off + company holidays</li><li>
Merchandise discount</li><li>
Learning &amp; Development programs</li><li>
Much more!</li></ul></div><p></p>

Customer Data Platform Data Engineer (Hybrid)

AlpacaJapan株式会社

<div><div><p><b>Who We Are:</b></p>
<p>
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.</p>
<p>
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.</p>
<p>
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of <b>opening financial services to everyone on the planet</b>. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.</p>
<p>
Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.</p><br>
<p></p>
<p><b>
Our Team Members:</b></p>
<p>
We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!<br>
<br>
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values&mdash;Stay Curious, Have Empathy, and Be Accountable&mdash;and are ready to make a significant impact, we encourage you to apply.</p></div><div><p><b>
Your Role:</b> We are seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers.</p>
<p>
We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems.</p>
<p>
Our team is 100% distributed and remote.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders.</li>
<li>Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals.</li>
<li>Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements.</li>
<li>Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs.</li>
<li>Operate the system and manage production issues in a timely manner.</li>
</ul>
<p><b>Must-Haves:</b></p>
<ul>
<li>7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling &gt;100M events/day.</li>
<li>Proficiency in at least one programming language, with strong working knowledge of Python and SQL.</li>
<li>Experience with cloud-native technologies like Docker, Kubernetes, and Helm.</li>
<li>Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg.</li>
<li>Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.)</li>
<li>Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).</li>
<li>Ability to work in a fast-paced environment and adapt solutions to changing business needs.</li>
<li>Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte.</li>
<li>Production experience with streaming systems like Kafka.</li>
<li>Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform.</li>
<li>Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL).</li>
<li>If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you!</li>
</ul></div><div><h3 class="jobSectionHeader"><b>How We Take Care of You:</b></h3>
<ul><li>Competitive Salary &amp; Stock Options</li>
<li>Health Benefits</li>
<li>New Hire Home-Office Setup: One-time USD $500</li>
<li>Monthly Stipend: USD $150 per month via a Brex Card</li>
</ul>
<p><i>Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.</i></p><br>
<p><i>
Recruitment Privacy Policy</i></p></div></div>

Senior Data Engineer

Deloitte

<div>
 Join Deloitte's Core AI &amp; Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.
 <br/>
 <br/>
 Recruiting for this role ends on 07/03/2026.
 <br/>
 <br/>
 Work you'll do
 <br/>
 <br/>
 As a Databricks Data Engineer on the Core AI &amp; Data team, you will be responsible for:
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  </li>
  <li>
   Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  </li>
  <li>
   Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  </li>
  <li>
   Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  </li>
  <li>
   Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  </li>
  <li>
   A successful candidate would possess these skills:
  </li>
  <li>
   Ability to work independently and collaborate as part of a team
  </li>
  <li>
   Effective written and verbal communication skills
  </li>
  <li>
   Meticulous attention to detail and quality of work product
  </li>
  <li>
   Ability to build and sustain professional relationships
  </li>
  <li>
   Ability to lead projects or workstreams
  </li>
  <li>
   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  </li>
  <li>
   Strong interpersonal skills and professional demeanor
  </li>
  <li>
   Ability to meet deadlines
  </li>
  <li>
   Ability to provide clear guidance to others
   <br/>
   <br/>
  </li>
 </ul>
 The team
 <br/>
 <br/>
 Deloitte's Core AI &amp; Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.
 <br/>
 <br/>
 Qualifications Required:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  </li>
  <li>
   3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  </li>
  <li>
   2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  </li>
  <li>
   Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  </li>
  <li>
   Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  </li>
  <li>
   Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  </li>
  <li>
   Limited immigration sponsorship may be available.
   <br/>
   <br/>
  </li>
 </ul>
 Preferred:
 <br/>
 <br/>
 <ul>
  <li>
   Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  </li>
  <li>
   Experience using Git-based version control and continuous integration/continuous deployment pipelines
  </li>
  <li>
   Experience supporting batch and streaming data workloads
  </li>
  <li>
   Experience with data warehousing, lakehouse architecture, and performance optimization
  </li>
  <li>
   Experience supporting analytics or machine learning data pipelines
  </li>
  <li>
   Experience working in consulting or client service delivery environments
   <br/>
   <br/>
  </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.
 <br/>
 <br/>
 Information for applicants with a need for accommodation:
 <br/>
 <br/>
 https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...
</div>


Databricks Data Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir&rsquo;s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><ul><li>Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
</li></ul></div><div><ul><li>AIP &amp; AI Enablement:
</li></ul></div><div><p>Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
</p></div><div><p>Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
</p></div><div><p>Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
</p></div><div><p>Collaborate with senior engineers on agent design, instructions, and evaluation using AIP&rsquo;s native features.
</p></div><div><ul><li>End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
</li></ul></div><div><ul><li>User Engagement: Provide training and support for business teams adopting Foundry and AIP.
</li></ul></div><div><ul><li>Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
</li></ul></div><div><ul><li>Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
</li></ul></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum 10 Years of experience in IT/Data.
</p></div><div><p>Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
</p></div><div><ul><li>2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
</li></ul></div><div><ul><li>Strong technical skills in Python, PySpark, SQL, and data modelling.
</li></ul></div><div><ul><li>Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
</li></ul></div><div><ul><li>Ability to work independently and engage directly with non-technical business users.
</li></ul></div><div><ul><li>Strong problem-solving mindset and ownership of delivery.
</li></ul></div></div><p>Nice to have
</p><div><div><ul><li>Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
</li></ul></div><div><ul><li>Exposure to AIP Evals and evaluation/test-driven approaches.
</li></ul></div><div><ul><li>Experience with integration patterns (APIs, MCP, cloud services).
</li></ul></div><div><ul><li>Consulting or applied AI/ML background.
</li></ul></div><div><ul><li>Experience in Abu Dhabi or the broader MENA region.
</li></ul></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Turkey, Turkiye
</p></div><p>Req. VR-122803
</p></div><div></div><div><div><p>Python
</p></div><div><p>BCM Industry</p>
</div><div><p>12/06/2026
</p></div><div><p>Req. VR-122803</p></div></div></div><p></p>

Palantir Foundry Engineer

giftHEALTH

<div><h2 class="jobSectionHeader"><b>About Us</b></h2><p>
At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.</p><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3><p>
The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards, and mentoring the broader engineering team. The ideal candidate has 6+ years of data engineering experience with demonstrated senior-level ownership, expert command of SQL, Python, and dbt, and the communication skills to align both technical and non-technical stakeholders on complex problems.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li>
Lead the design and architecture of our most critical data pipelines and data platform components</li><li>
Set technical standards and best practices that elevate the entire data team</li><li>
Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing</li><li>
Own the health, scalability, and reliability of our orchestration infrastructure</li><li>
Partner with engineering, analytics, and leadership to shape the roadmap for our data platform</li><li>
Evaluate and introduce new tools and technologies to keep our stack modern and effective</li><li>
Ensure compliance and confidentiality of Personal Health Information across all data</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li><b>
Education</b>: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer</li><li><b>
Experience</b>: 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership</li><li><b>
Skills</b>:
<ul><li>6+ years of experience as a Data Engineer, with demonstrated senior-level ownership</li>
<li>Expert proficiency in SQL and Python, with deep experience in Airflow or a comparable orchestrator</li>
<li>Strong track record with dbt, modern data warehouse platforms, and CI/CD pipelines</li>
<li>Experience mentoring engineers and contributing to team standards and culture</li>
<li>Ability to navigate ambiguity, make sound technical decisions, and drive projects to completion</li>
<li>Experience with AWS, Fivetran, and automated testing; Ruby experience is a plus</li>
<li>Excellent communication skills &mdash; you can align technical and non-technical stakeholders on complex problems</li>
<li>An excitement about what data can do for healthcare and patients</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>Work Environment</b></h3><ul><li><b>
Location</b>: Remote</li></ul><h3 class="jobSectionHeader"><b>
Employment Classification</b></h3><p><b>
Status:</b> Full-time<br>
<b>FLSA:</b> Exempt</p><h3 class="jobSectionHeader"><b>
Equal Employment Opportunity (EEO) Statement</b></h3><p>
Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.</p><h2 class="jobSectionHeader"><b><br>
Disclaimer</b></h2><p>
This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel.Gifthealth reserves the right to modify job duties or descriptions at any time.</p></div>

Coca-Cola HBC

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data Insights &amp; Automation , Digital &amp; Technology Platform Services.
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Cairo, Egypt.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for
  <strong>
   Azure DevOps &amp; Infrastructure Engineer
  </strong>
  with strong expertise in
  <strong>
   Azure cloud technologies
  </strong>
  , automation, and software development infrastructure to help lead the evolution of our Data Management Platforms team. In this role, you will be a key contributor to the design, implementation, and maintenance of our
  <strong>
   Data Mesh Platform
  </strong>
  , built on
  <strong>
   Azure and Databricks
  </strong>
  , enabling teams across the organization to develop, deploy, and operate scalable data products reliably and efficiently. You will play a critical role in architecting and optimizing robust CI/CD pipelines, infrastructure automation, and cloud-native solutions, ensuring the platform remains secure, performant, and resilient while leveraging the latest Microsoft and cloud engineering best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR KEY RESPONSIBILITIES:
  </strong>
 </p>
 <p>
  &bull; Design, build, and maintain CI/CD pipelines for Azure-based data platform services, with a strong focus on Azure Databricks.
 </p>
 <p>
  &bull; Automate infrastructure provisioning using Infrastructure-as-Code (Terraform).
 </p>
 <p>
  &bull; Manage and optimize Azure environments, including Databricks, Data Factory, and Data Lake.
 </p>
 <p>
  &bull; Develop and maintain scripts and tools to support platform automation.
 </p>
 <p>
  &bull; Contribute to standards for security, cost optimization, performance, and code quality.
 </p>
 <p>
  &bull; Implement automated deployment, testing, and monitoring to ensure reliable and secure delivery.
 </p>
 <p>
  &bull; Collaborate with architects, developers, and cross-functional teams to improve platform reliability and developer experience.
 </p>
 <p>
  &bull; Troubleshoot platform and pipeline issues across the data platform.
 </p>
 <p>
  &bull; Support deployment processes and operational tasks, including ticket-based requests where required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <p>
  &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 </p>
 <p>
  &bull; 3+ years of experience in DevOps, cloud engineering, or software engineering roles.
 </p>
 <p>
  &bull; Hands-on experience with Azure cloud services.
 </p>
 <p>
  &bull; Practical experience with Azure Databricks in production environments.
 </p>
 <p>
  &bull; Strong experience with Git and Terraform.
 </p>
 <p>
  &bull; Experience building and maintaining CI/CD pipelines using YAML-based systems.
 </p>
 <p>
  &bull; Proficiency in scripting languages such as Python, Bash, or PowerShell.
 </p>
 <p>
  &bull; Solid understanding of DevOps and DevSecOps practices.
 </p>
 <p>
  &bull; Excellent problem-solving and debugging skills.
 </p>
 <p>
  &bull; Excellent spoken and written English
 </p>
 <p>
  &bull; Communication, organizational and analytical skills
 </p>
 <p>
  <u>
   Nice to Have:
  </u>
 </p>
 <p>
  &bull; Experience with Azure Data Factory, Data Lake, or similar data platform services.
 </p>
 <p>
  &bull; Familiarity with tools such as Dynatrace, SonarCloud, AquaSecurity, or similar.
 </p>
 <p>
  &bull; Azure or Databricks certifications.
 </p>
 <p>
  &bull; Familiarity with SAFe delivery environments.
 </p>
 <p>
  &bull; Experience working with enterprise ITSM tools such as ServiceNow.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </p>
 <p>
  And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
</div>


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