senior data scientist

data scientist

ai engineer

backend engineer

data analyst

senior data engineer

Floward

<div>
 
 
 
 Job Purpose:
 
 
 
 
 
 
 
 As a Senior Data Engineer, you will be building Floward&rsquo;s next generation data platform to help spread the smiles on the face of our customers. You will need to think outside the box, be equipped with an innovative mindset and be prepared to build our data infrastructure from the ground up.
 
 
 If you have an entrepreneurial mindset, a starter-upper and an avid problem solver, a global team is waiting for you.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Design and implementation of the data engineering tech stack and ETL pipelines needed to build a portfolio of actionable, accurate datasets to support business intelligence, product experimentation, and machine learning.
 </li>
 <li>
 Contribute to the definition of engineering and data science best practices to ensure the development of well-crafted, pragmatic and elegant solutions.
 </li>
 <li>
 Engage with local and global stakeholders to evolve and generalize data models and data definitions.
 </li>
 <li>
 Foster collaboration, knowledge sharing and data literacy between teams.
 </li>
 <li>
 Deeply understand and strive for the improvement of data organization, data management, and data governance best practices.
 </li>
 <li>
 Advocate code quality and documentation.
 </li>
 <li>
 Coach junior data engineers (and data scientists) through code reviews, pair programming, and tech talk sessions.
 </li>
 <li>
 Partner effectively with product and other stakeholders, to drive successful solutions.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Strong experience (3-4 years) designing and developing data transformation, data transport and data serving applications in a cloud environment.
 </li>
 <li>
 Excellent knowledge of Python.
 </li>
 <li>
 Very good knowledge of SQL.
 </li>
 <li>
 Very good knowledge of Airflow.
 </li>
 <li>
 Experienced with AWS (Redshift, DMS, Secret Manager, RDS, SQS and Lambda Functions). AWS Certifications would be a Bonus.
 </li>
 <li>
 Prior Practical Experience with DBT (Cloud or Core) would be a plus.
 </li>
 <li>
 Has practical experience in GCP (Big Query, Dataflow, Secret Manager, Cloud SQL, Cloud Functions and Pub/Sub). GCP Certifications would be a Bonus.
 </li>
 <li>
 Experience with practices such as DevOps &amp; MLOps is a plus.
 </li>
 <li>
 Experience with CI/CD practices and tools.
 </li>
 <li>
 Experience with Git and Github Actions.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 About Floward :
 
 
 
 
 
 
 
 Founded in 2017, Floward is an online flowers and gifting company; we pride ourselves in creating a seamless experience for our customers and making sending flowers and gifts as enjoyable as receiving them. We source our flowers daily from the best growers and farmers around the world to create one of a kind stunning arrangements and plants that fit every occasion. We also partner with local and international brands to offer a wide range of gifts including chocolate, perfumes, cakes and more, coupled with our arrangements to create the perfect gift. Operating in 36 cities in nine countries across the MENA region and UK, we guarantee same-day delivery across the board through our own refrigerated fleet to ensure our arrangements arrive fresh to the customer.
 
</div>

Senior Data Engineer

Gathern

<div>About us:
At Gathern, we&rsquo;re not just a platform, we&rsquo;re the homegrown Saudi success story that built and leads the alternative hospitality sector across the Kingdom. As the largest peer-to-peer vacation rental marketplace in Saudi Arabia, Gathern enables travelers to explore the country through authentic stays hosted by local residents while directly supporting Saudi Vision 2030 by boosting tourism, empowering communities, and expanding accommodation supply. 
Backed by our SAR 270 million Series B funding round led by Sanabil Investments (PIF-owned) and valuing Gathern at over SAR 1 billion! We&rsquo;re entering an exciting new chapter of growth, innovation, and regional expansion as we prepare for a future Tadawul listing . 
With 5M+ users , guests from 150+ nationalities , a network of 72,000+ hospitality units , and more than SAR 2 billion paid to 33,000+ Saudi hosts, Gathern stands as one of the fastest-growing tech companies in the Kingdom, holding a 44% national market share and 53% in Riyadh! 
This is your opportunity to join a company that&rsquo;s redefining travel and shaping the future of tourism in Saudi Arabia! 
 
We are looking for an Engineering Manager who combines strong technical expertise with excellent leadership and operational discipline. You will lead engineering teams, ensure successful delivery of complex projects, optimize processes, elevate performance, and drive technical excellence across the organization. You will play a critical role in shaping engineering culture, scaling systems, improving execution, and aligning technical initiatives with business strategy. 
Key Responsibilities:<h3 class="jobSectionHeader">
1. Data Engineering &amp; Pipeline Ownership</h3><ul>
<li>Design, build, and maintain scalable data pipelines feeding the central data warehouse (BigQuery).
</li><li>Ensure data accuracy, freshness, reliability, and consistency across all BI and analytics datasets.
</li><li>Own data modeling, schema design, and documentation standards.
</li><li>Support efficient onboarding of new data sources with minimal rework.
</li><li>Optimize data access patterns and performance for BI tools (e.g., Power BI).
</li></ul><h3 class="jobSectionHeader">2. Data Quality, Observability &amp; Reliability</h3><ul>
<li>Implement and maintain data quality checks and monitoring mechanisms.
</li><li>Define and enforce core data quality dimensions (accuracy, completeness, consistency, timeliness, validity).
</li><li>Build automated validation checks (freshness SLAs, null thresholds, schema drift detection, referential integrity).
</li><li>Monitor data quality metrics and proactively alert on issues before they impact decision-making.
</li><li>Troubleshoot, debug, and resolve data pipeline and data quality incidents.
</li></ul><h3 class="jobSectionHeader">3. Collaboration &amp; Enablement</h3><ul>
<li>Partner closely with BI, Analytics, Product, and Engineering teams to support reporting and insight needs.
</li><li>Enable self-service analytics through well-designed, documented, and trusted datasets.
</li><li>Clearly document technical decisions, data models, and pipeline logic.
</li><li>Support data access controls, permissions, and security best practices in cloud environments.</li>
</ul>
Requirements<ul>
<li>
Strong proficiency in SQL, including complex queries and analytical modeling.
</li><li>Hands-on experience with Google BigQuery or comparable cloud data warehouses.
</li><li>Proven experience designing and operating ETL / ELT pipelines.
</li><li>Experience using Apache Airflow for orchestration and scheduling.
</li><li>Solid understanding of data modeling concepts (fact tables, dimensions, schema design).
</li><li>Experience working with semi-structured data (JSON, events, logs).
</li><li>Understanding of access control, permissions, and basic data security concepts in cloud environments.
</li></ul><h3 class="jobSectionHeader">Required Skills &amp; Experience</h3><ul>
<li>3+ years of experience in data engineering or similar roles.
</li><li>Strong problem-solving and troubleshooting skills.
</li><li>Ability to work effectively with BI analysts, system analysts, and backend engineers.
</li><li>Clear communication skills and ability to document technical decisions.
</li><li>Comfortable operating in a fast-moving, evolving data environment.
</li></ul>Benefits<ul>
<li>
Comprehensive medical insurance to support your wellbeing.
</li><li>Fast career growth in a company scaling rapidly across Saudi Arabia and the region.</li>
</ul>
Important Note to Applicants: 
To ensure a smooth and efficient recruitment process for everyone, we kindly ask all candidates to complete the application questions thoroughly. We review your answers carefully, as they help us understand your experience and expectations clearly from the very beginning and avoid unnecessary back-and-forth later.
Applications submitted without properly completed questions may unfortunately be deprioritized. 
Thank you for taking the time to fill them in thoughtfully.</div>

Andela

<div>
 
 
 About Andela
 
 
 
 Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
 
 
 
 
 
 At Andela, we&rsquo;re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We&rsquo;re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you&rsquo;ll have access to many exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace!
 
 
 
 
 
 Our roles are typically filled at lightning speed, so if you&rsquo;re considering applying, get your application in quickly!
 
 
 
 
 
 -- 100% Remote
 
 
 -- Full-time
 
 
 -- Long-term
 
 
 -- Payment in USD
 
 
 
 
 
 
 
 
 
 About
 
 
 
 The Lead Data Scientist is a technical leadership role focused on applying advanced analytics, machine learning (ML), GenAI, and statistical modeling to solve complex business problems. This role typically involves hands-on development of predictive models, algorithms, and deep data insights, as well as leading a team of data scientists from early model development through to production.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses to address business challenges (e.g., predictive analytics, recommendation, hyper-personalization, fraud detection, etc.).
 </li>
 <li>
 Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation.
 </li>
 <li>
 Partner with Product, Engineering, Delivery, and Business to integrate data science solutions into production systems.
 </li>
 <li>
 Identify relevant datasets, perform data mining, and ensure data quality for modeling purposes.
 </li>
 <li>
 Communicate insights and model outcomes to technical and non-technical stakeholders to drive business decisions.
 </li>
 <li>
 Define project roadmaps&mdash;from ideation and experimentation to production deployment and monitoring&mdash;ensuring alignment with business goals.
 </li>
 <li>
 Build robust predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.).
 </li>
 <li>
 Continuously explore, pilot new methods and select proper modeling&mdash;Deep Learning, NLP, GenAI, LLMs, XAI&mdash;and promote best practices.
 </li>
 <li>
 Describe AI models using Explainable AI.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BSc in Computer Science, Information Technology, Computer Engineering, or related field.
 </li>
 <li>
 7+ years of experience leading projects and teams in data science.
 </li>
 <li>
 Experience in delivering similar projects in the banking sector.
 </li>
 <li>
 Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 MUST: Experience deploying models in production environments, not only solution development.
 </li>
 <li>
 Preferred: Master&rsquo;s or Diploma in Data Science, Statistics, Applied Mathematics, or related field.
 </li>
 <li>
 Fluency in Arabic and English.
 </li>
 </ul>
 
 
 
 
 
 Working Hours:
 
 9 AM - 5 PM,
 
 
 6 hours overlap with UTC+2
 
 
 
 Contract details: Long-Term Renewable Contract position with Andela
 
 
 
 
 
 
 
 At Andela,
 
 we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
 
 
 
 
 
 
 Andela is home for all. Come as you are
 
 
</div>

Flairstech

<div><div><div><div>Requirements and responsibilities<div>
PRIMARY RESPONSIBILITIES: 
<ul><li>
Act as an expert in the stabilisation of business intelligence operation and reports</li><li>
Manage and support a team of specialists from various fields (business intelligence analysts and ETL/BI developers);</li><li>
Proactive communicator with leaders in the organisation and able to prevent and manage crises linked to Data quality and report production delays</li><li>
Design and Implement tactical process to secure the production of timely and accurate reports</li><li>
Maintain and improve report delivery through difficult data challenges and provide feedback on the work of others;</li><li>
Promote business intelligence and data management best practices to various users in the company;</li><li>
Provide hands-on coaching and oversight on all aspects of BI report delivery: appraisal, design, management, deployment, delivery and more;</li><li>
Work directly with stakeholders to develop address their BAU needs.</li><li>
Insure the development of key resources to migrate to the new environments</li></ul> 
QUALIFICATIONS: 
<ul><li>
A university degree in business intelligence, data science or other relevant training;</li><li>
Over 4 years of experience in BI Ops , improvement and maintenance of BI reports;</li><li>
Expertise in business intelligence tools (Power BI );</li><li>
Technical understanding of the various languages surrounding data processing (DAX, SQL, communication with APIs);</li><li>
Excellent understanding of data warehousing environments and systems and ETL/ELT techniques;</li><li>
Knowledge of cloud and hybrid cloud implementations, including IaaS, PaaS and SaaS;</li><li>
Good understanding of Azure Data Factory, PowerShell Scripting, Azure Automation, Azure Data Lake and Azure Data Lake Analytics, SQL Server, Azure SQL Database, Azure SQL Data Warehouse, SSIS, SSRS, Power BI and Reporting Services, R, Azure Machine Learning;</li><li>
Excellent analytical and reasoning skills resulting in clear, robust and flexible architectures;</li><li>
Ability to proactively manage senior stakeholder</li><li>
Encourage outreach to others through collaboration, examples and mentoring;</li><li>
Exceptional communication skills with both technical and non-technical stakeholders.</li></ul></div></div></div></div></div><div></div>

Senior Data analytics engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Data Warehouse, Quality Assurance, Project Manager, Business Intelligence, Technology
</div>

Data Engineer (m/f/d)

Nok Human Capital

We are hiring a Senior Analytics &amp; AI Engineer to own and scale the end-to-end analytics foundation for a fast-growing organization. You will design core data models, KPIs, and dashboards while partnering directly with business stakeholders to turn ambiguous questions into actionable insights. Beyond traditional analytics, you will apply AI-driven automation to reduce manual work and accelerate decision-making. This role has direct impact on leadership visibility, operational efficiency, and data-driven strategy.About us NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.Key Responsibilities<ul><li>Build and automate core KPI reporting and performance dashboards used by leadership.</li><li>Design scalable data tables, datasets, and metric definitions to support self-serve analytics.</li><li>Own dashboard delivery end-to-end using QuickSight, Tableau, or Power BI.</li><li>Translate ambiguous business problems into structured analyses and clear recommendations.</li><li>Develop deep-dive analytics across operations, supply chain, inventory, profitability, customer experience, marketing, and topline performance.</li><li>Apply AI-enabled analytics solutions such as Text-to-SQL, RAG-based retrieval, forecasting, anomaly detection, and automated performance summaries.</li><li>Partner with senior stakeholders to drive adoption of dashboards and automated analytics tools.</li></ul>Requirements<ul><li>5+ years of experience in analytics, BI, or data roles (e.g., Senior Data Analyst, BI Engineer, Analytics Engineer).</li><li>Advanced SQL skills with strong experience working on large datasets and data modeling.</li><li>Proven end-to-end ownership of dashboards using QuickSight, Tableau, or Power BI.</li><li>Demonstrated experience building scalable analytics solutions beyond ad-hoc reporting.</li><li>Hands-on experience applying AI or automation to analytics workflows (e.g., LLMs, Text-to-SQL, RAG, forecasting).</li><li>Ability to work independently, manage stakeholders directly, and deliver with minimal guidance.</li></ul>Job Type: Full-time

Data Scientist

Employ me

Junior Engineer (Fresh Graduate)Job Title: Junior Engineer Department: Production / Maintenance / Quality Reports to: Senior Engineer / Department HeadJob Summary: The Junior Engineer will assist in the implementation, monitoring, and improvement of manufacturing processes and equipment to ensure efficient production operations while adhering to quality standards and safety regulations.Key Responsibilities:<ul><li>Support production line setup, operation, and troubleshooting.</li><li>Assist in preventive maintenance of machinery and equipment.</li><li>Participate in quality control checks and data recording.</li><li>Contribute to process optimization and cost-saving initiatives.</li><li>Follow Good Manufacturing Practices (GMP) and safety guidelines.</li><li>Prepare basic technical reports and documentation.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Engineering (Mechanical, Electrical, Industrial, Chemical, or related field).</li><li>Fresh graduate (0&ndash;1 year of experience).</li><li>Good command of English and computer skills.</li><li>Strong analytical and problem-solving abilities.</li></ul>Job Type: Full-timePay: From E&pound;8,500.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>

Junior Enginee

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Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data analytics engineer

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Junior Enginee