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analytics engineer

Cilantro

<div>
 Design, build, and maintain trusted, scalable, and well-documented data models and pipelines using modern analytics engineering tools. This role ensures that analysts and business leaders can extract insights efficiently and reliably from clean data layers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Transformation
 </li>
 <li>
 Develop and maintain dbt models with standardized naming, structure, and robust documentation.
 </li>
 <li>
 Create analytics-ready data marts by transforming raw data into clean, structured datasets.
 </li>
 <li>
 Write modular, well-tested, and efficient SQL code to power modeling layers.
 </li>
 <li>
 Data Pipeline Development
 </li>
 <li>
 Build reliable and scalable data pipelines for ingestion, transformation, and validation.
 </li>
 <li>
 Monitor and troubleshoot data pipeline performance, latency, and failures.
 </li>
 <li>
 Cross-functional Collaboration
 </li>
 <li>
 Work closely with analysts and business stakeholders to translate data requirements into technical solutions.
 </li>
 <li>
 Ensure data logic aligns with business definitions and operational context.
 </li>
 <li>
 Data Quality &amp; Documentation
 </li>
 <li>
 Implement data validation checks and tests to ensure accuracy and trustworthiness.
 </li>
 <li>
 Maintain clear documentation of data models, transformation logic, and data lineage.
 </li>
 <li>
 Use Git for version control and collaboration best practices.
 </li>
 <li>
 Infrastructure Support
 </li>
 <li>
 Support data infrastructure maintenance in cloud environments (BigQuery, Redshift, Snowflake).
 </li>
 <li>
 Adapt to evolving infrastructure, tools, and processes in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, or a related technical field.
 </li>
 <li>
 1&ndash;2 years of experience in analytics engineering, data engineering, or equivalent data-focused roles.
 </li>
 <li>
 Proficient in writing complex SQL queries.
 </li>
 <li>
 Experience with dbt or similar data modeling tools.
 </li>
 <li>
 Familiarity with Git (branching, commits, pull requests).
 </li>
 <li>
 Exposure to cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
 </li>
 <li>
 Understanding of data validation, quality testing, and documentation practices.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., GCP, AWS) is a plus.
 </li>
 </ul>
</div>

Analytics Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 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>
 You develop and maintain data analysis 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 collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., 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>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

Beyond Menu

<div>
 At BeyondMenu, we empower local restaurants to thrive through digital hospitality. Our all-in-one online ordering solution is purpose-built for independent restaurant owners, helping them grow their business with simple, effective tools for online and in-person service.
 
 
 We are profitable, rapidly growing, and backed by Bregal Sagemount&mdash;one of the most successful private equity firms in the world. As part of their portfolio, we&rsquo;re scaling fast with a focus on results, accountability, and long-term success.
 
 
 If you&rsquo;re looking to join a high-performance team and help build the future of restaurant tech, we want to hear from you
 
 
 We&rsquo;re looking for a Marketing Data Engineer who loves building reliable data systems as much as exploring the &ldquo;why&rdquo; behind the numbers. You&rsquo;ll sit at the intersection of data engineering, marketing analytics, and go-to-market strategy &mdash; helping connect marketing, sales, and product data to unlock insights and power personalized customer experiences.
 
 
 This role is ideal for someone who can write scalable data pipelines and enjoys partnering with cross-functional teams to translate data into decisions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Marketing Data Infrastructure
 </li>
 <li>
 Build and maintain integrations between Meta, Google Ads, Iterable, and SMS platforms and our cloud data warehouse
 </li>
 <li>
 Design segmentation pipelines and event-driven triggers that orchestrate marketing campaigns and customer journeys
 </li>
 <li>
 Ensure high data quality and observability across marketing activation systems
 </li>
 <li>
 Sales &amp; Revenue Data Pipelines
 </li>
 <li>
 Integrate multiple sources (CRM, call platforms, marketing automation, product usage) to create unified go-to-market performance metrics and dashboards
 </li>
 <li>
 Manage pipelines that process unstructured data (sales calls, webscraped data) using generative AI to produce structured insights, summaries, and performance feedback for revenue teams
 </li>
 <li>
 Product &amp; Customer Experience Data
 </li>
 <li>
 Build data flows that push insights and custom datasets into our product &mdash; powering features like dynamic menus, AI-driven recommendations, and personalized push notifications
 </li>
 <li>
 Collaborate with product managers and engineers to ensure real-time data supports key customer experiences
 </li>
 <li>
 Insights &amp; Analysis
 </li>
 <li>
 Conduct ad-hoc and automated analysis to uncover trends, patterns, and opportunities in marketing and sales performance
 </li>
 <li>
 Partner with marketing and sales leadership to design and execute experiments, tests, and causal analyses that measure the impact of campaigns, content, and channels
 </li>
 <li>
 Act as a bridge between data and business &mdash; helping non-technical stakeholders understand data in clear, actionable ways
 
 
 
 
 
 </li>
 </ul>
 
 What You Need:
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics, or marketing technology
 </li>
 <li>
 Proficiency in SQL and Python
 </li>
 <li>
 Proven experience developing scalable data pipelines for ingesting and synchronizing high-volume data through third-party APIs
 </li>
 <li>
 Experience with modern data stacks (e.g., Databricks, dbt, Airflow, Fivetran, Snowflake, or similar)
 </li>
 <li>
 Hands-on experience integrating APIs for ad platforms, marketing automation, or CRM systems
 </li>
 <li>
 Familiarity with AI and NLP pipelines is a strong plus
 </li>
 <li>
 Strong communication skills &mdash; able to explain complex systems and insights to marketing and sales leaders
 </li>
 <li>
 Business-level English speaking and writing skills
 </li>
 <li>
 Ability to work during US Eastern business hours.
 </li>
 <li>
 Curiosity, initiative, and a desire to understand how marketing and sales activities translate into business outcomes
 
 
 
 
 </li>
 </ul>
</div>

Marketing Data Engineer

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 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:
 
 Data Warehouse, Business Intelligence, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

Sitech

<div>
 
 About Sitech
 
 
 
 At
 
 Sitech
 
 , we design and deliver innovative digital products and experiences that empower global enterprises and startups. We&rsquo;re driven by technology, collaboration, and continuous improvement &mdash; and we&rsquo;re looking for a
 
 SecOps Engineer
 
 to help us strengthen our security posture across systems and operations.
 
 
 As a
 
 SecOps Engineer
 
 , you&rsquo;ll play a critical role in integrating security best practices into IT operations. You will monitor systems for potential threats, respond to incidents, manage vulnerabilities, and automate security workflows to ensure a secure and resilient infrastructure.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Threat Monitoring: Continuously monitor networks, endpoints, and cloud environments to detect potential threats and maintain operational health.
 </li>
 <li>
 Incident Response: Lead security investigations, perform forensic analysis, and report findings with clear remediation steps.
 </li>
 <li>
 Vulnerability Management: Identify, assess, and remediate vulnerabilities across systems, applications, and cloud environments.
 </li>
 <li>
 Automation &amp; Orchestration: Develop and maintain tools and playbooks for Security Orchestration, Automation, and Response (SOAR) to streamline incident handling.
 </li>
 <li>
 Cross-Team Collaboration: Work closely with IT, DevOps, and security teams to integrate security throughout the entire system lifecycle.
 </li>
 <li>
 Compliance &amp; Governance: Ensure adherence to security policies, industry standards, and regulatory requirements.
 </li>
 <li>
 Continuous Improvement: Evaluate and implement new security technologies, tools, and processes to enhance Sitech&rsquo;s overall security strategy.
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Technical Expertise: Hands-on experience with SIEM, SOAR, EDR, and log analytics tools (e.g., Splunk, Elastic Stack) as well as cloud platforms like AWS or Azure.
 </li>
 <li>
 Scripting &amp; Automation: Proficiency in Python, PowerShell, or Bash for automating security and operational tasks.
 </li>
 <li>
 Security Knowledge: Strong understanding of security best practices, threat detection, risk management, and incident handling.
 </li>
 <li>
 Analytical Thinking: Ability to investigate and interpret security events, identify root causes, and propose effective solutions.
 </li>
 <li>
 Communication: Excellent written and verbal communication skills to collaborate with both technical and non-technical stakeholders.
 </li>
 <li>
 Education: Bachelor&rsquo;s degree in Information Security, Computer Science, or a related field (or equivalent practical experience).
 </li>
 </ul>
</div>

SecOps Engineer

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 
 
 As a
 
 Customer Support Engineer
 
 at Incorta, you will play a vital role in ensuring customer success by providing world-class post-sales support. You will act as the primary point of contact for our customers, resolving technical issues, troubleshooting complex challenges, and guiding them to get the most value out of Incorta&rsquo;s platform. In this role, you will also serve as a trusted advisor and advocate for customer needs, collaborating with internal teams to drive resolutions and improve the overall customer experience.
 
 
 
 YOU WILL
 
 
 
 <ul>
 <li>
 Deliver day-to-day technical support to Incorta&rsquo;s EMEA customers via phone, email, and other channels.
 </li>
 <li>
 Troubleshoot and resolve complex issues related to installation, upgrades, performance, and clustering.
 </li>
 <li>
 Research and analyze incidents and service requests, developing effective and timely solutions.
 </li>
 <li>
 Contribute to and enrich Incorta&rsquo;s internal and external Knowledge Base and user community.
 </li>
 <li>
 Collaborate with cross-functional teams on projects, providing input on support requirements for new tools and features.
 </li>
 <li>
 Demonstrate strong communication skills to effectively manage customer expectations and ensure satisfaction.
 </li>
 <li>
 Show commitment to areas of strategic importance, contributing to continuous improvement in support services.
 
 
 </li>
 </ul>
 
 YOU HAVE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related field.
 </li>
 <li>
 3+ years of total technical experience, with at least 2 years in a customer support role.
 </li>
 <li>
 Excellent analytical and troubleshooting skills.
 </li>
 <li>
 Strong experience in setting up and troubleshooting clusters and environments involving Linux, Tomcat, WebLogic, Zookeeper, Spark, Hilex, and Kafka.
 </li>
 <li>
 Knowledge of SQL.
 </li>
 <li>
 Exceptional verbal and written communication skills in English.
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Experience with BI tools such as Tableau, MicroStrategy, Power BI, or similar.Solid experience in Python programming.
 </li>
 <li>
 Experience supporting analytics and BI software products.
 </li>
 <li>
 Knowledge of Oracle ERP (E-Business Suite).
 </li>
 <li>
 ITIL V3 Foundation or relevant technical certifications.
 
 
 </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 
 
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>

Customer Support Engineer, EMEA

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