project engineer

sales engineer

site engineer

estimation engineer

business analyst

etl developer

Virtusa

<div>
 Understanding the project requirements, by conducting Business Discovery Sessions
 
 
  Work with internal teams like system support teams, DBA and MIS teams to translate the existing requirements into
 
 
 the desired mart and reports
 
 
  Prepare data mapping documents, needed for development of various layers of the data platform (raw &ndash; bronze,
 
 
 EDM &ndash; silver, project specific &ndash; gold)
 
 
  Support during various phases of the projects as needed by the data engineers, data modelers, QA testers and Power
 
 
 BI developers
 
 
  Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of
 
 
 the business or organization
 
 
 Strong analytical and problem-solving skills to effectively design data solutions.
 
 
 <ul>
 <li>
 Banking Retail, Business &amp; Wholesale Product Knowledge and understanding
 </li>
 <li>
 Attention to detail and a commitment to delivering high-quality work.
 </li>
 <li>
 Excellent communication and teamwork skills to collaborate with cross-functional teams.
 </li>
 <li>
 Ability to manage time effectively and prioritize tasks in a dynamic work environment.
 
 
 </li>
 </ul>
 
  Technical Skills
 
 
 
 <ul>
 <li>
 Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
 </li>
 <li>
 Data Visualization tools &ndash; Power BI, Business Objects, Crystal or similar tool
 </li>
 <li>
 Data Warehousing and ETL concepts
 
 
 </li>
 </ul>
 
  Competencies
 
 
 
 <ul>
 <li>
 Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
 </li>
 <li>
 Deep understanding of distributed data processing frameworks, particularly Apache Spark.
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS) &mdash; including Object storage, compute, networking, and data
 
 
 </li>
 </ul>
 integration services.
 
 
 <ul>
 <li>
 Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
 </li>
 <li>
 Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
 </li>
 <li>
 Knowledge of data governance, quality assurance, and compliance best practices.
 </li>
 <li>
 Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues)
 
 
 </li>
 </ul>
 relevant to performance-critical data engineering
</div>

Data Analyst - ERP Project

GSSTech Group

<div>We are looking for a skilled Data Engineer with strong expertise in PySpark and Data Modeling to join our Data &amp; Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable data pipelines using PySpark</li><li>
Perform data modeling (conceptual, logical, and physical) for analytics and reporting</li><li>
Build and optimize ETL/ELT workflows for large-scale datasets</li><li>
Work with structured and unstructured data across multiple sources</li><li>
Ensure data quality, integrity, and governance standards</li><li>
Collaborate with data analysts, scientists, and business stakeholders</li><li>
Optimize performance of Spark jobs and data processing systems</li><li>
Support deployment and monitoring of data solutions in production</li></ul>
Required Skills &amp; Qualifications<ul><li>
Strong experience in PySpark and Apache Spark ecosystem</li><li>
Hands-on experience in data modeling (Star Schema, Snowflake, etc.)</li><li>
Proficiency in SQL and database technologies</li><li>
Experience with data warehousing concepts</li><li>
Knowledge of ETL/ELT tools and frameworks</li><li>
Familiarity with cloud platforms (AWS / Azure / GCP) is a plus</li><li>
Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)</li><li>
Strong problem-solving and analytical skills</li></ul>
Preferred Qualifications<ul><li>
Experience in banking/financial services domain</li><li>
Exposure to data governance and data quality frameworks</li><li>
Knowledge of CI/CD pipelines and DevOps practices</li></ul></div>

Data Engineer (PySpark & Data Modeling)

BlackStone eIT

<div>BlackStone eIT is looking for a skilled Data Platform Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data platforms that support the company&rsquo;s data processing and analytics needs.
In this role, you will collaborate with data engineers, analysts, and other stakeholders to develop efficient data pipelines, ensure data quality, and contribute to the overall data infrastructure architecture. This is a fantastic opportunity to advance your career by working with cutting-edge technologies and helping shape BlackStone eIT&rsquo;s data capabilities.
Key Responsibilities
Required Skills &amp; Technologies<ul><li>Python &mdash; async data pipelines, background jobs, scripting</li><li>PostgreSQL &mdash; schema design, migrations (Alembic), query optimization</li><li>Azure Data Lake Storage + Synapse Analytics</li><li>dbt &mdash; transformation, testing, documentation</li><li>Apache Airflow or Azure Data Factory</li><li>Data quality frameworks (Great Expectations, dbt tests, or custom)</li><li>Observability &mdash; structured logging, alerting, Azure Monitor or Prometheus/Grafana</li><li>Microsoft Graph API &mdash; SharePoint, M365 data extraction</li><li>Redis &mdash; queue management, caching</li><li>Docker &mdash; containerized pipeline jobs</li><li>SQL &mdash; advanced analytical queries, window functions, performance tuning</li></ul><ul><li>
Develop and maintain data pipelines for ingestion, processing, and storage of large datasets</li><li>
Implement ETL/ELT processes to transform raw data into usable formats</li><li>
Collaborate with cross-functional teams to understand data requirements and deliver solutions</li><li>
Ensure data quality, consistency, and reliability across platforms</li><li>
Optimize database performance and monitor platform health</li><li>
Assist in the design and implementation of data governance and security measures</li><li>
Document data infrastructure and processes for operational clarity</li></ul> 

Requirements 
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field</li>
<li>3+ years of experience in data engineering or data platform development</li>
<li>Proficiency in SQL and experience with relational databases like PostgreSQL or MySQL</li>
<li>Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar</li>
<li>Experience with cloud platforms (AWS, Azure, or Google Cloud)</li>
<li>Knowledge of Python or another programming/scripting language for data processing</li>
<li>Understanding of data security, governance, and quality best practices</li>
<li>Strong analytical and problem-solving skills</li>
<li>Good communication skills and ability to work effectively in a team environment</li> 
</ul> 
 
Benefits 
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

Data Platform Engineer

Dubai Holding

<div>
 
 Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai&rsquo;s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai&rsquo;s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.
 
 
 
 
 
 Dubai Holding is committed to the diversification of Dubai&rsquo;s non-oil economy. Our portfolio, valued at over AED 280+ billion, spans 10 sectors, including real estate, hospitality, leisure &amp; entertainment, ICT, design, education, media, retail, manufacturing &amp; logistics, and science.
 
 
 
 
 
 
 For the Good of Tomorrow
 
 
 
 Dubai Holding is looking to hire a
 
 Data Engineer
 
 . The role is responsible for leading the design, development, and maintenance of data solutions that support product teams in leveraging data for their specific needs. This role involves building and managing data pipelines, data lakes, and data warehouses, ensuring high-quality data delivery, and fostering a culture of process and data quality within development teams while being compliant with data protection/ privacy regulations and policies.
 
 
 
 
 
 If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 Data Infrastructure &amp; Pipeline Development
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines, lakes, and warehouses.
 </li>
 <li>
 Develop ETL jobs and stored procedures/functions/packages.
 </li>
 <li>
 Ensure robust data storage and high-quality data delivery.
 </li>
 </ul>
 
 
 Technical Guidance &amp; Integration
 
 
 <ul>
 <li>
 Own and implement ETL operating standards.
 </li>
 <li>
 Provide guidance on infrastructure for analytics and AI use cases.
 </li>
 <li>
 Collaborate with backend developers and IT architecture teams for seamless integration.
 </li>
 </ul>
 
 
 Product &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Work with Product Owners to understand and meet data needs.
 </li>
 <li>
 Translate product requirements into engineering plans and roadmaps.
 </li>
 <li>
 Gather stakeholder requirements and build architectures aligned with business goals.
 </li>
 </ul>
 
 
 Quality &amp; Process Excellence
 
 
 <ul>
 <li>
 Promote a culture of process and data quality.
 </li>
 <li>
 Implement best practices for data management and quality assurance.
 </li>
 <li>
 Support bug fixing and performance optimization.
 </li>
 </ul>
 
 
 Agile Delivery &amp; Team Collaboration
 
 
 <ul>
 <li>
 Advocate for agile methodologies and iterative development
 </li>
 <li>
 Collaborate cross-functionally to deliver project outcomes.
 </li>
 </ul>
 
 
 
 
 
 Who we are looking for:
 
 
 <ul>
 <li>
 At least 3-6 years of experience in Data Engineering roles
 </li>
 <li>
 Bachelor&rsquo;s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI); Advanced degrees preferred.
 </li>
 <li>
 Experience in Big Data platform like Databricks, Spark, Hive, Palantir Foundry etc.
 </li>
 <li>
 Experience in implementing AI solutions including OCR, Large Language Models, etc.
 </li>
 <li>
 Experienced with data modelling, design patterns, building highly scalable and secured analytical solutions.
 </li>
 <li>
 Proficiency in Python, SQL, PL/SQL, Spark and similar languages
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Experience working in a tech/ product environment is a plus
 </li>
 </ul>
 
 
 
 
 
 Behavioural Competencies
 
 
 <ul>
 <li>
 High-energy, ownership-driven mindset
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Comfortable navigating ambiguity and driving clarity
 </li>
 <li>
 Experience in agile/start-up environments preferred
 </li>
 <li>
 Successful track record of leading complex projects is a plus
 </li>
 </ul>
 
 
 
 
 
 As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.
 
 
 
 
 
 
 
 This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
 
 
</div>

Data Engineer

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.
We're looking for a Data Engineer to provide the infrastructure and tools that power insight generation and decision-making for everyone at Revolut, from entry-level analysts to C-level executives. You'll use your exceptional building and collaboration skills to uphold our data-centric culture.
Up to shape what's next in finance? Let's get in touch.
What you&rsquo;ll be doing<ul><li>
Designing, building, and maintaining efficient and reliable data platforms, streamlining end-to-end processes and automating workflows</li><li>
Partnering with cross-functional teams (Product, Engineering, Data Science) to build and enhance a seamless data platform, translating abstract concepts into practical solutions</li><li>
Establishing and enforcing data standards, maintaining comprehensive documentation, and managing a company-wide data registry</li><li>
Training and supporting users, and communicating platform updates and insights through various channels (dashboards, bots, etc.)</li><li>
Planning and executing organisation-wide platform changes, ensuring consistent best practices for coding, testing, deployment, and maintenance</li><li>
Leveraging data to guide all aspects of engineering work, ensuring insight-driven outcomes</li></ul>
What you'll need<ul><li>
A bachelor's or master's degree in computer science or related field, or equivalent practical experience</li><li>
Proficiency in Python, SQL, and Unix Shell scripting</li><li>
Experience implementing agile software development best practices, including TDD, refactoring, CI/CD, and XP</li><li>
Demonstrated experience in custom ETL design, implementation, and maintenance, along with workflow orchestration using tools like Airflow</li><li>
Expertise in distributed data processing and query engines (e.g., Trino, Spark, Snowflake, BigQuery)</li></ul>
Nice to have<ul><li>
Experience building large-scale infrastructure applications and writing maintainable code in multiple programming languages</li><li>
Expertise in cloud (GCP, AWS), containerisation, and infrastructure as code (Docker, Kubernetes, Terraform)</li><li>
An understanding of modern data architecture with experience implementing data mesh principles</li><li>
Familiarity with notebook-based data science workflows and proficiency in using monitoring and logging tools (NewRelic, Grafana, Prometheus, ELK)</li></ul>
Compensation range<ul><li>
Krakow: PLN36,000 - PLN40,000 gross monthly*</li><li>
Vilnius: &euro;7,200 - &euro;8,000 gross monthly*</li><li>
Poland: PLN36,000 - PLN40,000 gross monthly*</li><li>
Lithuania: &euro;7,200 - &euro;8,000 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
Notice: This is a remote position based in Turkey.</div>

Software Engineer (Data)

edari

<div>
 
 We are looking for a
 
 Palantir Dashboard Developer
 
 to do end-to-end dashboard development and data analysis for our client, a large semi-governmental group in Dubai. This role requires strong experience in Palantir Foundry, data modelling, and building high-quality, business-focused dashboards.
 
 
 
 
 
 This is a 12-month contract, renewable role in the organization and reports to the Manager of Information Technology in the IT department.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Engage with stakeholders to gather, structure, and refine business requirements
 </li>
 <li>
 Translate business needs into data models and dashboard solutions
 </li>
 <li>
 Identify and assess relevant data sources within Foundry and external systems
 </li>
 <li>
 Perform data exploration, validation, and ensure data quality and accuracy
 </li>
 <li>
 Design and build interactive dashboards using Foundry tools (Slate, Workshop, etc.)
 </li>
 <li>
 Ensure dashboards are intuitive, visually clear, and aligned to business KPIs
 </li>
 <li>
 Develop and manage data pipelines, automation, and refresh mechanisms
 </li>
 <li>
 Integrate dashboards with workflows (alerts, triggers, actions)
 </li>
 <li>
 Optimize dashboards for performance, scalability, and large datasets
 </li>
 <li>
 Apply data governance, security, and access control best practices
 </li>
 <li>
 Continuously enhance dashboards based on user feedback
 </li>
 </ul>
 
 
 
 
 
 Knowledge, skills &amp; experience:
 
 
 <ul>
 <li>
 Strong hands-on experience with Palantir Foundry (Ontology, Pipelines, Code Repositories, Workshop/Slate)
 </li>
 <li>
 Proficiency in SQL and Python (for data transformation and automation)
 </li>
 <li>
 Experience with data modelling and ETL/ELT pipelines
 </li>
 <li>
 Proven track record of building impactful dashboards
 </li>
 <li>
 Strong understanding of UX/UI principles and KPI-driven reporting
 </li>
 <li>
 Ability to translate business requirements into technical solutions
 </li>
 <li>
 Experience working with cross-functional stakeholders
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently with high ownership and accountability
 </li>
 <li>
 Experience in enterprise data environments; exposure to real estate, retail, or large datasets is an advantage
 </li>
 </ul>
 
 
 
 
 
 Availability:
 
 Preference will be given to candidates available immediately.
 
 
 
 
 
 We are looking for a candidate who will be able to work in United Arab Emirates. Please apply with your resume and remember to provide us with your contact details.
 
 
 
 
 
 We will review your job application within 7 working days. Should your profile fit the requirements of the role a consultant from Edari will be in touch with you to get a deeper understanding of your profile, to discuss the role in more detail and potential next steps.
 
 
 
</div>

Palantir Dashboard Developer

HireAlpha

<div>
 
 Role Overview
 
 
 We are seeking an experienced Senior Data Analyst with deep expertise in SQL, data mapping, data marts, and data warehousing, along with significant exposure to the banking domain (last 5&ndash;6 years). The ideal candidate will play a critical role in transforming business requirements into scalable data solutions and enabling data-driven decision-making.
 
 
 
 
 
 Key Responsibilities
 
 
 Design, develop, and optimize complex SQL queries for data extraction, transformation, and analysis
 
 
 Lead data mapping and data lineage activities across multiple systems
 
 
 Develop and maintain data marts and enterprise data warehouse (EDW) structures
 
 
 Collaborate with business stakeholders to understand requirements and translate them into data models and analytical solutions
 
 
 Ensure data quality, consistency, and integrity across systems
 
 
 Work closely with ETL teams to define and validate data transformation logic
 
 
 Perform data analysis and profiling to support reporting and regulatory requirements
 
 
 Support banking-specific analytics use cases (e.g., risk, compliance, customer analytics, transactions)
 
 
 Document data flows, mappings, and technical specifications
 
 
 Mentor junior analysts and provide technical guidance
 
 
 Required Skills &amp; Experience
 
 
 13+ years of experience in Data Analytics roles
 
 
 Strong expertise in:
 
 
 SQL (advanced level &ndash; complex joins, performance tuning, optimization)
 
 
 Data Mapping &amp; Data Lineage
 
 
 Data Warehousing concepts (Star/Snowflake schemas)
 
 
 Data Mart design and implementation
 
 
 Solid understanding of ETL processes and data pipelines
 
 
 Experience working with large-scale relational databases (e.g., Oracle, SQL Server, Teradata, etc.)
 
 
 Strong analytical and problem-solving skills
 
</div>

Lead Data Analyst

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