data engineer

Caregenix Solutions

<p>We're Hiring: <b>ETL Engineer</b> (Remote &ndash; Full Time)</p><p>Company: CareGenix Solutions</p><p>Location: Remote</p><p>Experience: <b>3+ Years</b></p><p>Type: Full-Time</p><p>Caregenix Solutions, a fast-growing healthcare tech company, is seeking a skilled ETL Engineer to design and maintain robust data pipelines that power real-time insights and analytics.</p><p>Key Responsibilities:</p><p>Build and manage scalable ETL/ELT pipelines using AWS services (Glue, Lambda, S3, EMR, Redshift, etc.).</p><p>Design and optimize data models and databases (Redshift, Athena, RDS).Ingest data from diverse sources and ensure quality through validation checks.</p><p>Collaborate with teams to deliver reliable, insight-driven data solutions.Monitor pipeline performance and troubleshoot as needed.</p><p>Follow best practices for data security and governance.Requirements6+ years in Data Engineering or similar roles.</p><p>Strong in SQL and Python or Scala.Hands-on experience with AWS data tools: Glue, Redshift, EMR, Athena, Kinesis, etc.</p><p>Experience with workflow/orchestration tools (Airflow, Step Functions).Solid knowledge of data warehousing, performance tuning, and big data.</p><p>Familiarity with CI/CD, Git, and IaC tools (Terraform, CloudFormation).Bachelor&rsquo;s in Computer Science, Engineering, or related field.</p><p>To Apply Send your resume to careers@caregenix.solutions</p><p>Subject Line: ETL Engineer</p><p>Be part of a team transforming healthcare through data. We&rsquo;d love to hear from you</p><p>Job Type: Full-time</p><p>Pay: Up to Rs400,000.00 per month</p><p>Application Question(s):</p><ul><li>what is your expected pay?</li></ul><p>Experience:</p><ul><li>Data/ ETL : 2 years (Required)</li></ul><p>Work Location: Remote</p>

Data Engineer

Binary Brix 

<p><b>Data Engineer (Remote)</b></p><p><b>Experience:</b> 4&ndash;5 years | <b>Job Type:</b> Full-Time | <b>Location:</b> Remote</p><p>We are looking for an experienced <b>Data Engineer</b> to design, build, and maintain scalable data pipelines and architectures for our next-gen data-driven SaaS platform. This role is fully remote and ideal for someone passionate about <b>big data, cloud platforms, and analytics</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Build, maintain, and optimize <b>ETL/ELT pipelines</b> for large-scale data processing.</li><li>Work with <b>structured &amp; unstructured data</b> from multiple sources.</li><li>Develop and manage <b>data warehouses</b> and <b>data lakes</b>.</li><li>Ensure <b>data quality, governance, and security</b>.</li><li>Collaborate with <b>data scientists, analysts, and software teams</b> to deliver insights.</li><li>Monitor performance and troubleshoot <b>data pipelines</b>.</li><li>Integrate solutions with <b>cloud platforms</b> (AWS, Azure, GCP).</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>4&ndash;5 years in <b>data engineering</b> or related roles.</li><li>Strong <b>Python, SQL, and scripting</b> skills.</li><li>Experience with <b>ETL/ELT tools</b> (Spark, Airflow, Databricks).</li><li>Hands-on with <b>cloud data platforms</b> (AWS, Azure, GCP).</li><li>Familiarity with <b>data warehouses</b> (Snowflake, Redshift, BigQuery).</li><li>Knowledge of <b>streaming platforms</b> like Kafka is a plus.</li></ul><p><b>Nice to Have</b></p><ul><li>DBT or other <b>data transformation frameworks</b>.</li><li>CI/CD for <b>data workflows</b>.</li><li>Exposure to <b>ML pipelines</b>.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs300,000.00 per month</p><p>Work Location: Remote</p>

Qode

<b>Job Summary:</b> We are looking for a skilled Data Engineer with strong hands-on experience in AWS to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have expertise in modern data warehousing, ETL/ELT development, and distributed data processing while ensuring data quality, performance, and security.
<br><b>Key Responsibilities:</b> · Design, develop, and maintain scalable data pipelines using AWS services.· Build and optimize ETL/ELT workflows for structured and unstructured data.· Implement data lakes and data warehouses on AWS.· Work with large datasets to ensure high performance, reliability, and data integrity.· Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.· Perform data modeling for analytical and operational use cases.· Ensure data quality, governance, and security best practices.· Monitor and troubleshoot data workflows and production issues.· Support CI/CD and automation for data platform deployments.
<br><b>Required Skills & Experience:</b> · Strong hands-on experience with AWS services such as S3, Glue, Redshift, Lambda, EMR, Athena, and RDS.· Proficiency in Python and SQL for data processing and analysis.· Experience in building and optimizing ETL/ELT pipelines.· Solid understanding of data warehousing and data lake architecture.· Experience with Apache Spark / PySpark.· Knowledge of workflow orchestration tools (Airflow or similar).· Familiarity with streaming frameworks (Kinesis/Kafka) is a plus.· Experience with data modeling and performance tuning.· Understanding of DevOps, CI/CD, and infrastructure as code (Terraform/CloudFormation).· Experience working in Agile/Scrum environments.
<br><b>Good to Have:</b> · Experience with Snowflake on AWS.· Exposure to real-time data processing.· AWS certification (e.g., AWS Certified Data Analytics / Solutions Architect).
<br><b>Soft Skills:</b> · Strong problem-solving and analytical skills.· Excellent communication and stakeholder management.· Ability to work in a fast-paced, collaborative environment.

MOBIZ

<div><p><b>About Mobiz</b></p>
<p>
Mobiz is an information technology firm, and we do three things exceptionally well: cloud and network automation, digital transformation, and data protection. Double-digit growth year-over-year has driven us to grow our team and ensure we stay ahead of the curve.</p><p></p><p><b><br>
What Can You Expect?</b></p>
<p>
Every day at Mobiz we work with a deep sense of purpose. We continuously innovate. Our mission is to empower our clients to do more through transformation. You&rsquo;ll work in a collaborative environment alongside highly talented people that improve client operations and exceed expectations. We strive to simplify technology challenges, and no less.</p><br>
<p></p>
<p><b>
Who Are We Looking For?</b></p>
<p>
We are looking for a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and operating scalable, secure, and high-performing data solutions that enable analytics, reporting, and data-driven decision-making across the organization. You will collaborate closely with cross-functional teams and leverage modern cloud technologies to transform raw data into trusted, accessible insights.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design, build, test, deploy, and maintain robust data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric, supporting both batch and streaming workloads.</li>
<li>Ingest, integrate, and harmonize data from multiple cloud and on-premises sources to deliver a unified, reliable, and trusted data view for analytics and reporting.</li>
<li>Use Python and SQL to clean, transform, validate, and model data to meet business, reporting, and analytical requirements.</li>
<li>Contribute to data architecture and platform design decisions, ensuring solutions are scalable, secure, cost-effective, and aligned with long-term business and technical strategy.</li>
<li>Build and maintain metadata-driven pipelines that gracefully adapt to schema changes, new data sources, and evolving ingestion patterns.</li>
<li>Proactively identify data quality issues, pipeline failures, and performance bottlenecks; perform root-cause analysis and implement durable, long-term solutions.</li>
<li>Continuously optimize data pipeline performance, reliability, and scalability to ensure fast, consistent, and dependable access to data.</li>
<li>Implement automated data quality checks, validation rules, and monitoring dashboards to ensure accuracy, consistency, and trust in delivered datasets.</li>
<li>Monitor, analyze, and manage data pipeline and compute costs across Azure, Databricks, and Microsoft Fabric, recommending and implementing cost-optimization strategies without compromising performance or availability.</li>
<li>Automate routine and repetitive data engineering tasks, applying best practices for CI/CD, deployment, testing, and operational support.</li>
<li>Design, implement, and maintain secure data access controls using role-based access, audits, and governance best practices to ensure appropriate data security and compliance.</li>
<li>Maintain clear, accurate, and up-to-date technical documentation, and provide ongoing operational support as data platforms and business needs evolve.</li>
<li>Stay current with emerging data engineering technologies, cloud services, and analytics best practices, and evaluate new tools through proofs of concept when appropriate.</li>
<li>Collaborate closely with product managers, software engineers, analysts, and operations teams to embed high-quality data solutions into core business processes.</li>
<li>Promote and enforce data engineering best practices including version control, modular and reusable pipeline design, documentation standards, and scalable architecture patterns.</li>
<li>Enable and support data democratization by providing well-modeled, secure, and self-service-ready datasets through Power BI, Microsoft Fabric, or custom analytics solutions.</li>
<li>Deliver measurable outcomes such as highly reliable pipelines with minimal manual intervention, on-time pipeline execution within service windows, rapid resolution of critical incidents, and consistently high data quality.</li>
<li>Ensure reusable and standardized pipeline components are leveraged across teams to accelerate delivery, improve consistency, and reduce operational overhead.</li>
<li>Provide stakeholders with reliable, well-modeled datasets that can be confidently explored without requiring ongoing engineering support.</li>
<li>Ensure all data solutions comply with organizational security, access, and governance policies while maintaining positive feedback from internal and external users.</li></ul><br>
<p></p>
<p><b>
 Required Skills &amp; Qualifications</b></p><br>
<ul>
<li>3&ndash;5 years of hands-on experience in data engineering or related roles, with proven experience building, supporting, and operating production-grade data pipelines.</li>
<li>Strong hands-on experience with Databricks, including development, optimization, and operational support of Databricks-based data solutions.</li>
<li>Proven experience with Azure Data Factory (ADF) and Microsoft Fabric for data ingestion, orchestration, and transformation.</li>
<li>Advanced proficiency in SQL for querying, data modeling, performance tuning, and troubleshooting.</li>
<li>Strong programming skills in Python for data transformation, automation, scripting, and pipeline development.</li>
<li>Hands-on experience with Microsoft Azure cloud services related to data storage, compute, networking, and security.</li>
<li>Solid understanding of ETL/ELT patterns, data integration strategies, and real-time or near-real-time data processing concepts.</li>
<li>Experience designing metadata-driven and reusable pipeline components that scale across multiple teams and projects.</li>
<li>Strong understanding of data governance, data quality frameworks, monitoring practices, and automated validation techniques.</li>
<li>Experience supporting high-availability data platforms with SLAs, monitoring, alerting, and incident response processes.</li>
<li>Demonstrated ability to optimize cloud compute usage and manage costs efficiently across Azure, Databricks, and Microsoft Fabric.</li>
<li>Experience using version control systems such as Git and following modern software engineering best practices.</li>
<li>Ability to design secure, scalable, and cost-effective data architectures aligned with business needs.</li>
<li>Strong analytical, problem-solving, and troubleshooting skills with a proactive and ownership-driven mindset.</li>
<li>Excellent communication skills, with the ability to explain complex data concepts to both technical and non-technical stakeholders.</li>
<li>Ability to work independently as well as collaboratively in cross-functional team environments.</li>
<li>High attention to detail with a strong focus on data accuracy, reliability, and documentation quality.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li>
<li>Relevant certifications are required or strongly preferred, including Databricks Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate, and Microsoft Certified: Fabric Data Engineer Associate.</li></ul><br>
<p></p>
<p><b>
What We Offer</b></p>
<ul>
<li>A team of bright, hard-working, and innovative people that will contribute to your growth.</li>
<li>Competitive Salary and comprehensive benefits plan.</li>
<li>A dynamic and collaborative work environment with opportunity to work with cutting-edge technology and innovative solutions.</li></ul><br>
<p></p>
<p><b>
Other</b><br>
This is a full-time office based job in Islamabad, Pakistan.</p><p></p><p><b><br>
Closing</b></p>
<p>
Mobiz embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. We are an equal opportunity employer.</p>
<p>
We thank all applicants for their interest. We will contact you if you are selected to move forward in the recruiting process.</p></div><p></p>

Heidelberg Materials Trading

<div>
 <p>
  Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world&rsquo;s largest building materials companies, handling overseas drybulk product exports and imports across global markets. We are looking for a talented individual to join our IT team in our Dubai Office as:
 </p>
 <p>
 </p>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric&ndash;oriented environment while proposing justified alternatives when needed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
  </li>
  <li>
   Design, build, and maintain scalable Azure SQL&ndash;based data pipelines to support analytics, reporting, and operational decision making.
  </li>
  <li>
   Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
  </li>
  <li>
   Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
  </li>
  <li>
   Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
  </li>
  <li>
   Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
  </li>
  <li>
   Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
  </li>
  <li>
   Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
  </li>
  <li>
   Contribute to data governance, security standards, and consistent documentation practices.
  </li>
  <li>
   Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  </li>
  <li>
   Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
  </li>
  <li>
   Strong SQL skills with experience working on relational databases and transformation logic.
  </li>
  <li>
   Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
  </li>
  <li>
   Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
  </li>
  <li>
   Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
  </li>
  <li>
   Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
  </li>
  <li>
   Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
  </li>
  <li>
   Strong communication skills with the ability to translate technical detail into clear business language.
  </li>
  <li>
   Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
  </li>
  <li>
   Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
  </li>
  <li>
   Experience in trading, logistics, or supply chain environments is beneficial.
  </li>
  <li>
   Familiarity with Azure‑based cloud data architectures is preferred.
  </li>
 </ul>
 <p>
 </p>
 <p>
 </p>
 <p>
  <strong>
   We thank all applicants for their interest, but only shortlisted candidates will be contacted.
  </strong>
 </p>
 <p>
  <strong>
   All applications will be kept strictly confidential.
  </strong>
 </p>
</div>


Lloyds Technology Centre

<div></div><div><div>End Date</div>
Tuesday 10 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>
Job Description<br>
<br>
Are you ready to shape the future of data engineering, build innovative solutions from the ground up, and mentor others in a team that values challenge and care?<br>
<br>
About this opportunity&hellip;<br>
<br>
Join Reporting Solutions, part of the Testing, Management Information &amp; Insights team in the Consumer Relationships Chief Controls Office. We&rsquo;re on a mission to reimagine how colleagues use Controls insight to deliver good customer outcomes.<br>
<br>
You&rsquo;ll work in an agile environment, collaborating with business partners across Consumer Relationships and Consumer Lending. As a Senior Data Engineer, you&rsquo;ll lead by example, designing and building new data solutions, driving robotics and automation projects, and supporting the growth of your teammates.<br>
<br>
Our team culture is built on challenge and care: we raise the bar and take pride in the work we produce.<br>
<br>
If you&rsquo;ve got the skills to transform complex datasets into sleek, user-friendly visualisations that pack a punch, we want to hear from you!<div></div><div>
Job Description</div><div>
Experience: 8-14yrs</div><div>
Location: Hyderabad</div><div></div><div>
Skill Area</div><div>
Grade E &ndash; Senior Data Engineer</div><div>
GCP (BigQuery)</div><div>
Deep GCP expertise; hands‑on with BigQuery performance tuning, clustering/partitioning, cost‑optimisation, advanced SQL nuances.</div><div>
BigQuery SQL</div><div>
Advanced SQL incl. UDFs, optimisation strategies, and platform‑specific tuning.</div><div>
Airflow / Cloud Composer</div><div>
Designs and builds complex DAGs, operators, hooks, retries, observability and scheduling.</div><div>
dbt</div><div>
Builds complex models, custom macros, advanced templating, and leads best‑practice design.</div><div>
Python (ETL/ELT)</div><div>
Designs modular Python frameworks for ETL/ELT, APIs, orchestration components.</div><div>
Business &amp; Data Modelling</div><div>
Works with stakeholders to architect data solutions; influences data design.</div><div>
Git &amp; GitHub</div><div>
Leads branching strategy, reviews complex PRs, resolves difficult merge scenarios.</div><div>
GitHub Copilot</div><div>
Uses Copilot for advanced prompting, large‑scale refactoring, and review automation.</div><div>
VS Code</div><div>
Deep tooling setup, environment configuration, and workflow optimisation.</div><div>
Terraform (GCP)</div><div>
Uses/extends Terraform modules, understands state mgmt, and environment provisioning.</div><div>
CI/CD (Jenkins, Harness)</div><div>
Designs/maintains build and deployment pipelines for data workflows.</div><div>
TWS Scheduling</div><div>
Designs job schedules; optimises dependencies across workloads.</div><div>
Operational Awareness</div><div>
Owns monitoring, logging, troubleshooting across full platform; drives reliability improvements.</div></div>

Search 9191+ Data engineer jobs near you this February. New roles added regularly across leading industries. Apply today.

9191 data engineer jobs NEAR_ME

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer