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Data Engineer

We are looking for a skilled Data Engineer to join our team. In this role, you will be responsible for designing and implementing highly available Business Intelligence solutions, as well as Big Data and Integration systems using a variety of technologies.

Responsibilities:

• Design and implement Business Intelligence solutions, Big Data and Integration systems using SSIS and SSRS.
• Debug, monitor, and troubleshoot BI solutions.
• Create and deploy reports.
• Write relational and multidimensional database queries.
• Modify databases and products according to client needs.
• Create functional requirements.
• Design and develop database architectures.
• Use and implement Data Warehouse tools and concepts.
• Create development standards that comply with enterprise architecture guidelines.
• Extract data from multiple structured and unstructured data sources.
• Develop robust and presentable big data visualizations.

Requirements:

• 3+ years' experience with ETL tools such as DTS, SSIS (SSIS Preferred) and SSAS.
• Experience in using data visualization tools (Power-BI, Tableau, AWS Quick Sight, etc.).
• 3+ years' experience with SQL Server, including T-SQL stored procedures, functions, views, triggers, indexes, query tuning, and SSIS.
• 3+ years’ experience in database development, SQL, Transactional SQL, Stored Procedures, and RDBMS.
• Bachelor’s degree in MIS, Computer Science, or related field, or equivalent combination of education and experience.

Join Norconsult Telematics as a Data Visualization & Automation Engineer!
We are seeking a skilled engineer to deliver high-quality data visualizations, well-structured reports, and automated reporting solutions to enhance operational and strategic decision-making.

Position Objectives:
- Transform complex datasets into intuitive dashboards.
- Design and automate recurring and executive reports.
- Improve data accuracy and ensure timely availability of insights to stakeholders.

Key Responsibilities:

• Design, develop, and maintain Power BI, Tableau, and web-based dashboards to provide actionable insights.
• Automate standard and executive reporting processes to increase efficiency and accuracy.
• Collaborate with stakeholders to understand reporting requirements and translate them into effective dashboards.
• Apply UX principles to ensure dashboards are user-friendly and visually compelling.
• Utilize ETL processes and data integration techniques for data preparation.
• Develop scripts or workflows using Python for data manipulation and advanced analytics.
• Incorporate advanced analytics to enhance reporting capabilities.
• Continuously monitor, validate, and improve the quality and performance of dashboards.
• Document reporting processes and data sources for maintainability.

General Duties:
- Report daily to the Senior Manager on performance management and operational metrics.
- Ensure performance management requirements are met during the handover from network delivery to operations.
- Contribute to meetings and workshops on performance management and reporting.
- Maintain accuracy and consistency of data in reports and dashboards.
- Collaborate with stakeholders to align reporting with operational goals.

Qualifications:
- Bachelor's degree in computer science, telecommunications, or engineering.
- 5 years of professional experience in performance management and reporting design.
- Strong experience with Power BI and report automation.
- Proficient in Python and ETL processes.
- Excellent analytical and communication skills.

Join HALA as a Senior Data Engineer!
HALA is a leading fintech player in the MENAP region, focusing on redefining financial services for SMEs. We empower businesses with innovative financial tools and solutions. As a Senior Data Engineer, you will be at the forefront of our data infrastructure, contributing to cutting-edge analytics and real-time intelligence.

Role Overview: We are looking for a highly skilled Senior Data Engineer who will design, build, and optimize large-scale data infrastructure. Your responsibilities will include:

• Architecting and maintaining real-time data pipelines using Apache Kafka and other technologies.
• Implementing efficient change data capture (CDC) pipelines.
• Developing and automating ETL/ELT workflows.
• Administering and optimizing large-scale Oracle databases for analytical workloads.
• Ensuring compliance with data governance and security standards.
• Partnering with analytics teams to understand business requirements.

What We Offer:
HALA offers a diverse culture with competitive compensation packages and growth opportunities. We emphasize personal development through regular training and mentorship. Work in an innovative environment that values autonomy and responsibility.

If you're ready to make an impact with us, we encourage you to apply now!

Join Halian as a Data Engineer!
We are a global technology and digital solutions organization focused on delivering large-scale data, cloud, and AI-powered transformation services. We are currently seeking a skilled Data Engineer to support a major Generative AI initiative through robust data architecture and high-performance pipelines.

Responsibilities:

• Build and maintain data lakes, warehouses, and feature stores optimized for AI and GenAI workloads.
• Design and implement scalable data pipelines, ETL workflows, and real-time processing systems.
• Develop data models and ensure efficient data preparation for machine learning and feature engineering.
• Collaborate with data scientists, ML engineers, and software teams to understand data requirements and deliver aligned solutions.
• Utilize programming languages and big data frameworks for large-scale data processing and infrastructure.
• Maintain high-quality data architecture to support performance, scalability, and evolving AI product needs.

Qualifications And Skills:

• Proven data engineering experience, preferably in AI/ML or GenAI environments.
• Strong proficiency in Python and familiarity with Scala or Java.
• Knowledge of SQL, NoSQL databases, data modeling, and data warehousing practices.
• Experience with data pipeline tools, big data ecosystems, and MLOps practices.
• Strong problem-solving skills and collaborative mindset.
• Bachelor’s degree in computer science, data science, IT, or a related field focused on data engineering or big data systems.

Why Halian? With nearly 30 years of expertise across the Middle East, Europe, and the US, Halian is dedicated to shaping the future of Workforce Management and Managed Services. We are committed to diversity, equity, and inclusion, ensuring all individuals feel valued and empowered. Join us in driving innovation and fostering collaboration!

Join DXC Technology as a Data Engineer!

At DXC Technology, we prioritize strong connections and community dynamics as key components of our success. Our work model aims to foster in-person collaborations, while still offering the flexibility necessary to support well-being, productivity, individual work styles, and different life circumstances. We are dedicated to creating an inclusive environment where everyone can succeed.

Role Overview:
As a Data Engineer, your role will be pivotal in building and maintaining robust data pipelines and integration processes. You will support data quality checks and help in investigating and resolving data issues, working closely with business teams to cater to their data needs and deliver effective solutions.

Key Responsibilities:

• Assist in building and maintaining data pipelines and integration processes.
• Support data quality checks and resolve data issues.
• Utilize data catalogs and metadata tools for easier data accessibility.
• Document data flows and maintain up-to-date records.
• Learn about and apply data governance practices, including privacy and compliance requirements.
• Explore new tools, technologies, and best practices in data management.

Requirements:

• A recent graduate in Computer Engineering, Computer Science, Information Systems, or a related field.
• Basic understanding of databases with experience in SQL and familiarity with relational databases.
• Some exposure to data concepts such as ETL, data warehouses, or data modeling.
• Strong problem-solving skills and a willingness to tackle technical challenges.
• Good communication skills to interact with technical and non-technical teams.
• Eagerness to learn and grow within the role.
• Exposure to cloud platforms (AWS, Azure, Google Cloud).
• Familiarity with data tools like Power BI, Tableau, Informatica, or Talend.
• A basic understanding of data governance or data privacy concepts.

We do not expect you to come with all the answers, but we do require curiosity and the initiative to learn. Be part of a team that is shaping the future of technology!