data engineering specialist

aramco

<div>
 <p>
  <strong>
   This position requires full relocation to Saudi Arabia. It is a permanent full time Expat position with an attractive relocation package. Please note only qualified candidates will be contacted.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Overview :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a Data Engineering Specialist to join Downstream Global Optimizer (GO) team.
 </p>
 <p>
  The Downstream Global Optimizer team drives commercial optimization across Saudi Aramco&rsquo;s integrated downstream value chain, including domestic and international refining assets. The GO team identifies and captures optimization opportunities to enhance system netback and deliver shareholder value. By building robust data infrastructure, automating pipelines, and enabling real-time analytics, the team supports agile decision-making in dynamic market conditions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Your primary role is to design, develop, and maintain scalable data platforms that power the iGO (intelligent Global Optimizer) ecosystem. Your work will ensure seamless integration of structured/unstructured data, enable high-performance analytics, and provide reliable foundations for optimization models, machine learning pipelines, and enterprise reporting. You will focus on building and maintaining the data infrastructure that supports our data scientists. This role will involve designing and implementing scalable data pipelines, ensuring data quality, and managing data storage solutions. The specialist will work closely with data scientists and other teams to provide the necessary data infrastructure for advanced analytics and machine learning models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  As the successful candidate you will be required to perform the following:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design and implement data architectures and efficient ETL (Extract, Transform, Load) processes to move and transform data from various sources into a format suitable for analysis.
  </li>
  <li>
   Ensure the accuracy, completeness, and consistency of data by implementing data validation and cleansing processes.
  </li>
  <li>
   Architect and manage data storage solutions, including data lakes and warehouses, to meet the needs of the organization.
  </li>
  <li>
   Work with data scientists and other stakeholders to understand data requirements and provide appropriate data solutions.
  </li>
  <li>
   Optimize data pipelines and architectures for scalability and performance, ensuring they can handle large volumes of data efficiently.
  </li>
  <li>
   Maintain thorough documentation of data systems, pipelines, and processes for clarity and continuity.
  </li>
  <li>
   Proficiency in languages such as Python, SQL, and Java or Scala.
  </li>
  <li>
   Experience with big data technologies like Apache Spark, Hadoop, Kafka, and Airflow.
  </li>
  <li>
   Knowledge of cloud services such as AWS, Azure, or GCP, including their data storage and processing services.
  </li>
  <li>
   Understanding of data warehousing concepts and experience with tools like Databricks, Microsoft data fabric and Cloudera.
  </li>
  <li>
   Familiarity with ETL tools and processes for data transformation and migration.
  </li>
  <li>
   Experience with CI/CD pipelines and version control systems like Git.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum Requirements :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   You will hold a Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or a related field from a recognized institution.
  </li>
  <li>
   A Master&rsquo;s or advanced degree is preferred.
  </li>
  <li>
   You will have at least 10 years of experience in data engineering, data architecture, or enterprise data platform development, including 5+ years in designing and managing enterprise-grade data pipelines.
  </li>
  <li>
   Strong technical expertise in programming languages: Python, SQL, Scala, and experience with data engineering frameworks (Apache Spark, Kafka, Airflow, Flink).
  </li>
  <li>
   Proven experience building data lakes, data warehouses, and ETL/ELT pipelines for large-scale, heterogeneous datasets.
  </li>
  <li>
   In-depth knowledge of cloud platforms (AWS, GCP, Azure) and distributed data processing tools (e.g., Databricks, Cloudera, Snowflake).
  </li>
  <li>
   Hands-on experience with data governance, metadata management, and data quality frameworks.
  </li>
  <li>
   Ability to work in complex, cross-functional environments, translating business needs into scalable data architectures.
  </li>
  <li>
   Strong communication skills to articulate technical designs to stakeholders and mentor junior engineers.
  </li>
  <li>
   Familiarity with industrial/energy sector data ecosystems (e.g., OT/IT systems, SCADA, ERP, market data) is preferred.
  </li>
  <li>
   Certifications in cloud platforms (AWS/GCP/Azure), data engineering (e.g., Google Professional Data Engineer, AWS Big Data Specialty) are a plus.
  </li>
 </ul>
</div>


Data Scientist (Relocation to Saudi Arabia is Required)

NatWest Group

<div>
 Join us as a Data Engineering Lead
 <br/>
 <br/>
 <ul>
  <li>
   This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
  </li>
  <li>
   You&rsquo;ll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers&rsquo; and the bank&rsquo;s data safe and secure
  </li>
  <li>
   Participating actively in the data engineering community, you&rsquo;ll deliver opportunities to support our strategic direction while building your network across the bank
  </li>
  <li>
   We&rsquo;re recruiting for multiple roles across a range to levels, up to and including experienced managers
   <br/>
   <br/>
  </li>
 </ul>
 What you'll do
 <br/>
 <br/>
 We&rsquo;ll look to you to demonstrate technical and people leadership to drive value for the customer through modelling, sourcing and data transformation. You&rsquo;ll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering, leading a team of data engineers.
 <br/>
 <br/>
 <strong>
  We&rsquo;ll Also Expect You To Be
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Working with Data Scientists and Analytics Labs to translate analytical model code to well tested production ready code
  </li>
  <li>
   Helping to define common coding standards and model monitoring performance best practices
  </li>
  <li>
   Owning and delivering the automation of data engineering pipelines through the removal of manual stages
  </li>
  <li>
   Developing comprehensive knowledge of the bank&rsquo;s data structures and metrics, advocating change where needed for product development
  </li>
  <li>
   Educating and embedding new data techniques into the business through role modelling, training and experiment design oversight
  </li>
  <li>
   Leading and delivering data engineering strategies to build a scalable data architecture and customer feature rich dataset for data scientists
  </li>
  <li>
   Leading and developing solutions for streaming data ingestion and transformations in line with streaming strategy
   <br/>
   <br/>
  </li>
 </ul>
 The skills you'll need
 <br/>
 <br/>
 To be successful in this role, you&rsquo;ll need to be an expert level programmer and data engineer with a qualification in Computer Science or Software Engineering. You&rsquo;ll also need a strong understanding of data usage and dependencies with wider teams and the end customer, as well as extensive experience in extracting value and features from large scale data.
 <br/>
 <br/>
 We'll also expect you to have knowledge of of big data platforms like Snowflake, AWS Redshift, Postgres, MongoDB, Neo4J and Hadoop, along with good knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform and Microsoft Azure
 <br/>
 <br/>
 <strong>
  You&rsquo;ll Also Demonstrate
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of core computer science concepts such as common data structures and algorithms, profiling or optimisation
  </li>
  <li>
   An understanding of machine-learning, information retrieval or recommendation systems
  </li>
  <li>
   Good working knowledge of CICD tools
  </li>
  <li>
   Knowledge of programming languages in data engineering such as Python or PySpark, SQL, Java, and Scala
  </li>
  <li>
   An understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow
  </li>
  <li>
   Knowledge of messaging, event or streaming technology such as Apache Kafka
  </li>
  <li>
   Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
  </li>
  <li>
   Extensive experience using RDMS, ETL pipelines, Python, Hadoop and SQL
  </li>
 </ul>
</div>


Data Engineer

p99soft

<div><div><b>DATA ENGINEER &ndash; with BI</b></div><div><b>
Experience : 3-4 yrs</b></div><div><b>
Location Hyderabad (Hybrid)</b></div><div></div><div><b><br>
Share your cv to</b></div><div><b>
snehal.patil@p99soft.com</b></div><div></div><div><br>
As a Data Engineer, you will be involved in the entire development lifecycle, from brainstorming ideas to implementing scalable solutions that unlock data insights. You will collaborate with stakeholders to gather requirements, design data models, and build pipelines that support reporting, analytics, business intelligence (BI), and exploratory analysis.</div><div></div><div><b><br>
Job Description: -</b></div><div>
Primary Skillset: Tableau/Power BI, Python, Snowflake/Red Shift/Big Query, SQL</div><div>
Secondary Skillset : Kafka, Spark, Trino</div><div></div><div><b><br>
Key Responsibilities: -</b></div><ul><li>
Design, build, and sustain efficient, scalable, and performant Data Engineering Pipelines to ingest, sanitize, transform (ETL/ELT), and deliver high-volume, high-velocity data from diverse sources.</li><li>
Ensure reliable and consistent processing of versatile workloads of granularity such as Real Time, Near Real Time, Mini-batch, Batch, and On-demand.</li><li>
Translate business requirements into technical specifications, design and implement solutions with clear documentation.</li><li>
Develop, optimize, and support production data workflows to ensure comprehensive and accurate datasets for analytics and BI reporting.</li><li>
Apply a Software Engineering mindset/discipline, adopting best practices in writing modular code that is maintainable, scalable, and performant.</li><li>
Use orchestration and scheduling tools (e.g., Airflow, GitLab Runners) to streamline workflows.</li><li>
Automate deployment and monitoring of data workflows using CI/CD best practices. Use DevOps best practices to instrument retries and self-healing to minimize, if not avoid, manual intervention.</li><li>
Use AI/Gen AI tools and technologies to build/generate reusable code.</li><li>
Collaborate with Engineering Groups, Analysts, Product/Program Management, and other stakeholders to deliver end-to-end solutions.</li><li>
Promote strategies to improve our data modelling, quality, architecture, and BI capabilities.</li><li>
Mentor junior engineers and contribute to team knowledge sharing.</li><li>
Have an analytics and BI mindset to explore and identify opportunities for improved metrics, insights, and dashboards contributing to business growth.</li></ul><div><b>
</b></div><div><b>
Qualifications</b>: -</div><ul><li>
Master&rsquo;s or bachelor&rsquo;s degree in computer science or associated discipline with relevant industry experience in a data engineering role.</li><li>
Strong proficiency in writing and analysing complex SQL, Python, or any 4GL.</li><li>
Strong hands-on experience with Cloud Data Warehouses like Snowflake, Redshift, Big Query.</li><li>
Expertise &amp; experience with open table formats (e.g., Apache Iceberg).</li><li>
Expertise &amp; experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Beam, Trino).</li><li>
Experience with real-time/streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming).</li><li>
Experience in using Airflow.</li><li>
Deep knowledge in data modelling, performance optimization techniques, and BI best practices.</li><li>
Experience in version control and CI/CD workflows (e.g., Git).</li><li>
Strong familiarity with BI tools such as Looker, Tableau, Power BI, dashboard design</li><li>
Experience working in Agile development environments and with tools like JIRA or Confluence.</li><li>
Strong problem-solving, analytical, and debugging skills.</li><li>
Excellent communication and collaboration skills, with the ability to work across business, analytics, BI, and engineering teams.</li></ul></div>

DATA ENGINEER – with BI

CLOFTECH (PRIVATE) LIMITED

<p><b>Data Engineer</b></p><p>Experience: 2-3+ Years</p><p>Location: Lahore, Pakistan (Hybrid/Remote)</p><p>Type: Full-Time</p><p><b>About the Role</b></p><p>We're looking for a Data Engineer to build and maintain our Semantic Lakehouse architecture. You'll work with Apache Iceberg, AWS Glue, and modern data stack technologies to create scalable ETL pipelines that process data from multiple heterogeneous sources into a unified analytics layer.</p><p><b>What You'll Do</b></p><ul><li>Design and implement ETL pipelines using AWS Glue and PySpark for data standardization and harmonization</li><li>Build and maintain Apache Iceberg tables with SCD Type 2 dimensions and fact tables</li><li>Develop the semantic mapping layer that transforms source data into bounded entity-centric models</li><li>Implement data quality checks, validation rules, and error handling in processing pipelines</li><li>Optimize query performance using partitioning strategies, compaction, and statistics</li><li>Work with Amazon Athena and Redshift Spectrum for analytical queries</li><li>Collaborate with ML engineers to integrate NER-based schema inference into pipelines</li><li>Ensure multi-tenant data isolation and implement Lake Formation security policies</li></ul><p><b>Requirements</b></p><ul><li>2-3+ years of experience in data engineering or related field</li><li>Strong proficiency in Python and SQL</li><li>Experience with Apache Spark/PySpark for large-scale data processing</li><li>Hands-on experience with AWS services (S3, Glue, Athena, Lambda)</li><li>Understanding of data modeling concepts (dimensional modeling, star/snowflake schemas)</li><li>Familiarity with columnar formats (Parquet, ORC) and table formats (Iceberg, Delta Lake, or Hudi)</li><li>Experience with workflow orchestration tools (Step Functions, Airflow, or similar)</li><li>Strong problem-solving skills and attention to data quality</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with Apache Iceberg specifically</li><li>Knowledge of CDC (Change Data Capture) patterns</li><li>Experience with Databricks</li><li>AWS certifications (Data Analytics, Solutions Architect)</li></ul><p>Job Type: Full-time</p><p>Pay: Rs300,000.00 - Rs500,000.00 per month</p><p>Experience:</p><ul><li>Data Engineering: 2 years (Required)</li></ul><p>Work Location: Hybrid remote in Lahore</p>

Changeis, Inc.

<div><p><b>Data Engineer &ndash; Expression of Interest</b></p>
<p>At ChangeIs, we collaborate with U.S. Federal organizations to deliver innovative data solutions, and we're continually seeking talented Data Engineers for future opportunities. If you have experience in data engineering, ETL development, or related fields, and you're interested in exciting contract roles with competitive pay and benefits, we'd love to connect with you!</p>
<p>By joining our talent pool, you&rsquo;ll be among the first to learn about upcoming contract positions that match your expertise and career goals. We welcome candidates at all experience levels&mdash;whether you&rsquo;re just starting your career or are a seasoned professional&mdash;we encourage you to apply. Most of our positions are remote, providing flexibility while working on impactful federal projects.</p>
<p><b>Key Skills &amp; Qualifications We&rsquo;re Looking For:</b></p>
<ul><li><p><b>Data Engineering &amp; ETL:</b> Experience designing, building, and maintaining data pipelines, including reverse-engineering legacy systems and implementing scalable solutions on modern platforms.</p>
</li><li><p><b>Collaboration:</b> Ability to work with stakeholders across teams to translate business and technical requirements into robust data solutions.</p>
</li><li><p><b>Tools &amp; Techniques:</b> Proficiency with ETL and data engineering tools (e.g., StreamSets, Palantir Foundry, Pentaho, Informatica, Talend), SQL, and programming languages such as Python or Java. Experience with AWS data services is a plus.</p>
</li><li><p><b>Problem Solving &amp; Critical Thinking:</b> Ability to analyze complex data problems, handle schema drift, and ensure high-quality, reliable solutions.</p>
</li><li><p><b>Leadership &amp; Mentorship:</b> Experience mentoring junior engineers, conducting code reviews, and promoting best practices (preferred for senior-level candidates).</p>
</li><li><p><b>Federal Experience:</b> Prior work with U.S. Federal organizations, FAA projects, or eligibility for federal security clearance is preferred but not required.</p>
</li></ul><p><b><i>Please note that this is not a job posting but an opportunity to express your interest in potential Data Engineering roles within ChangeIs. By submitting an application of interest, you will be considered for any suitable positions that may arise in the future.</i></b></p></div>

KONE

<div><p>Data Engineers, Data Products (Pune)
</p><p></p><p>To join the team developing the Data Foundation based data products for a KONE. Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization. Data products play a vital role in business value generation and driving optimized data architecture is crucial to ensure reusability of the data assets on the cloud based Data Foundation.
</p><p></p><p>This is a hands-on, roll up your sleeves position that requires a passion for data, engineering and DevOps. In this role you will be doing hands on data engineering tasks from new development to resolving technical issues, maintaining and optimizing workloads. We offer a chance to work hands-on with state-of-the-art cloud technology in a global, multi-cultural work environment being located in our office in Pune. We approach multi-cloud data engineering experience, as your professional background.
</p><p></p><p>We are searching for an enthusiastic person to join the team who is excited about developing own professional skills even further, learning new things and contributing to team success. An ideal candidate has a strong background in data engineering, SW engineering and data integration with modern multi cloud stack, but above all will to commit to a DevOps mindset and reach goals together.
</p><p></p><p>We are expecting you to take self-driven, proactive approach to your work, find &amp; implement solutions, continuously looks for improvement opportunities in own area, solve problems, make decisions and share the learnings to colleagues. We want to work with people who enjoy teamwork, are not afraid to step out of their comfort zone, want to help others and share information.
</p><p></p><p><b>To succeed in this role, following professional experience will play a key role:
</b></p><p></p><ul><li>Master's degree in either software engineering, data engineering, computer science, or a related field
</li></ul><ul><li>Hands-on data engineering professional experience (&gt; 3 years)
</li></ul><ul><li>Previous hands-on professional experience in developing and maintaining data pipelines on AWS, Azure and/or Databricks. Working proficiency the the tech stack: AWS, Gitlab, Databricks for ETL, Airflow, SCL, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC.
</li></ul><ul><li>Hands-on development experience on lake house architecture based on Databricks and Delta Lake, multi-hop medallion architecture to divide the data lake into bronze, silver and gold layers based on the quality and reusability of the data stored there, data product publishing in Unity catalog.
</li></ul><ul><li>Strong coding proficiency with multiple languages SQL and Python, additional language are bonus. Ability to write compelling code, technical documentation and visualize your technical design.
</li></ul><ul><li>Fluency in industry-standard DevOps practices and tools.
</li></ul><ul><li>Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT. Experience on enterprise data sources: Experience in woring with e.g. SAP ERP, Salesforce, Droduct data management (PDM), and many others.
</li></ul><ul><li>Way of working professional experience
</li></ul><ul><li>Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io).
</li></ul><ul><li>Inbuilt cybersecurity awareness. Understanding on data privacy and compliancy regulations.
</li></ul><ul><li>Ability to work in global multi-cultural team and effectively collaborate within the team.
</li></ul><ul><li>Ability to self-organize, take accountability and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills.
</li></ul><ul><li>Experience of DataOps and ITSM processes.
</li></ul><ul><li>Proficiency in spoken and written English language, and strong facilitation and communication skills.
</li></ul><p></p><p><i>At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
</i></p><p></p><p>Read more on <i>www.kone.com/careers</i></p></div>

Data Engineer & Data Products

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
We are looking for an experienced professional with strong expertise in Data Engineering and Python Programming. This role involves designing scalable data pipelines, ensuring data quality and governance, and enabling end-to-end machine learning model deployment in production environments. You will collaborate with data scientists, architects, and business stakeholders to deliver data-driven solutions that power advanced analytics and AI initiatives.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Proven experience in Data Engineering (ETL/ELT, data modelling, performance tuning).</li><li>
Hands-on experience with MLOps tools such as MLflow, Kubeflow, or Azure ML.(Not mandatory , good to have)</li><li>
Strong programming skills in Python and SQL.(Mandatory )</li><li>
Experience with cloud platforms preferably Azure.</li><li>
Knowledge of CI/CD pipelines and version control (Git, GitHub Actions, Azure DevOps).</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
Proven experience in designing and building scalable data pipelines using tools such as Apache Spark, Databricks, Azure Data Factory</li><li>
Strong proficiency in Python and SQL for data transformation and analysis.</li><li>
Familiarity with cloud platform Azure especially in data storage and compute services.</li><li>
Experience with modern data lakehouse architectures (e.g., Delta Lake)</li><li>
Knowledge of data modeling techniques (e.g., Star Schema, Snowflake Schema)</li><li>
Exposure to CI/CD pipelines for data and ML workflows, ensuring reproducibility and scalability.</li><li>
Understanding of data quality, lineage, and governance in production environments.</li><li>
Ability to work in agile environments and collaborate with cross-functional teams .</li><li>
Strong problem-solving skills and Certifications in Data Engineering, Cloud Platforms, or MLOps are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Reward &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:
</p><ul><li>Comprehensive life insurance coverage.</li><li>
Premium medical insurance for you and your dependents.</li><li>
Generous annual leave balance.</li><li>
Flexible and hybrid work solutions.</li><li>
Remote work opportunities outside of country.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Relocation assistance.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

Data Engineer (Azure Data Eng- 4-6 yrs)

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

10000 data engineering specialist jobs Near Me

Data Scientist (Relocation to Saudi Arabia is Required)

Data Engineer

DATA ENGINEER – with BI

Data Engineer

Data Engineer

Data Engineer & Data Products

Data Engineer (Azure Data Eng- 4-6 yrs)