data analyst

data scientist

data scientist ii

data support engineer

recruiting senior analyst

senior data scientist

Xenon7

<div>About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.<h3 class="jobSectionHeader">
About the Client:</h3>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
Position Overview
Seeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.
Key Responsibilities<ul><li>Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support.</li><li>Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques.</li><li>Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions.</li><li>Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems.</li><li>Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow..</li><li>Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes..</li><li>Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction..</li><li>Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment.</li><li>Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations.</li><li>Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards).</li></ul>
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.</li>
<li>Senior Data Scientist: 3&ndash;5 years of hands-on experience in data science roles, with proven ability to mentor junior team members.</li>
<li>Fluency in Arabic and English</li>
</ul>
Skills and Expertise<ul><li>Strong analytical and problem-solving mindset.</li><li>Deep expertise in machine learning algorithms and statistical methods.</li><li>Practical experience with deep learning architectures and techniques.</li><li>Proficient in Python and SQL for data manipulation, analysis, and model development.</li><li>Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.</li><li>Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting.</li><li>Experience with time series analysis using ARIMA, LSTM, and Prophet.</li><li>Familiarity with clustering techniques like k-means, and Gaussian Mixture Models.</li><li>Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders.</li><li>Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost.</li><li>Strong communication skills to present technical concepts to both technical and non-technical audiences.</li><li>Ability to work collaboratively in cross-functional teams.</li><li>Self-driven, highly organized, and capable of handling multiple projects simultaneously.</li><li>Commitment to continuous learning and staying updated with advancements in data science and AI.</li></ul>
Benefits<ul>
<li>
Attractive, market-leading salary package.</li>
<li>Clear career advancement path with professional development opportunities.</li>
<li>One-year contract with Xenon7, presenting a significant opportunity for renewal.</li></ul></div>

Senior Data Scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Science Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
About the Role: 
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
Responsibilities: 
<ul>
<li>Use data to create new, scalable solutions for business pricing problems.</li>
<li>Design experiments, measure results and provide a point of view in decision-making.</li>
<li>Develop and implement advanced analytics and machine learning models to solve complex business problems.</li>
<li>Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.</li>
<li>Ensure the quality and integrity of data used for analysis and modeling.</li>
<li>Stay up-to-date with the latest trends and advancements in data science and machine learning.</li>
<li>Oversee the deployment of machine learning models into production environments.</li>
<li>Maintain documentation of data science processes and methodologies.</li>
</ul>
Requirements: 
<ul>
<li>4 to 5 years in a data science role</li>
<li>Strong drive to learn, experiment, and drive outcomes.</li>
<li>Strong background in statistical analysis and machine learning.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>
<li>Experience with building custom deep learning models (using pytorch).</li>
<li>Experience with optimization, routing and task assignment problems.</li>
<li>Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a PLUS.</li>
<li>Experience with Google Big Query, and Vertex API is a plus.</li>
<li>Advanced SQL Experience, ability to query complex data correctly and efficiently.</li>
<li>Excellent knowledge of data wrangling and preprocessing techniques.</li>
<li>Strong problem-solving skills and ability to think critically.</li>
<li>Excellent communication skills, with the ability to present complex information clearly and concisely.</li>
<li>A proactive and innovative mindset, with a strong attention to detail.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>

Senior Data Science Engineer

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Science Engineer
 
 on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 
 
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Use data to create new, scalable solutions for business pricing problems.
 </li>
 <li>
 Design experiments, measure results and provide a point of view in decision-making.
 </li>
 <li>
 Develop and implement advanced analytics and machine learning models to solve complex business problems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
 </li>
 <li>
 Ensure the quality and integrity of data used for analysis and modeling.
 </li>
 <li>
 Stay up-to-date with the latest trends and advancements in data science and machine learning.
 </li>
 <li>
 Oversee the deployment of machine learning models into production environments.
 </li>
 <li>
 Maintain documentation of data science processes and methodologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4 to 5 years in a data science role
 </li>
 <li>
 Strong drive to learn, experiment, and drive outcomes.
 </li>
 <li>
 Strong background in statistical analysis and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with building custom deep learning models (using pytorch).
 </li>
 <li>
 Experience with optimization, routing and task assignment problems.
 </li>
 <li>
 Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a
 
 PLUS
 
 .
 </li>
 <li>
 Experience with Google Big Query, and Vertex API is a plus.
 </li>
 <li>
 Advanced SQL Experience, ability to query complex data correctly and efficiently.
 </li>
 <li>
 Excellent knowledge of data wrangling and preprocessing techniques.
 </li>
 <li>
 Strong problem-solving skills and ability to think critically.
 </li>
 <li>
 Excellent communication skills, with the ability to present complex information clearly and concisely.
 </li>
 <li>
 A proactive and innovative mindset, with a strong attention to detail.
 </li>
 <li>
 Having an automotive background is a
 
 PLUS
 
 .
 </li>
 </ul>
</div>

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Scientist

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks. You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
 
This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering.
Key Responsibilities
<ul><li>Design, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources.
</li><li>Implement data ingestion, transformation, and orchestration frameworks leveraging Azure Data Factory, Synapse, and/or Microsoft Fabric Data Pipelines.
</li><li>Develop and optimize ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake) to ensure high performance and scalability.
</li><li>Implement and enforce data quality, lineage, and governance practices.
</li><li>Work closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards.
</li>Participate in client workshops and technical discussions to translate business needs into technical designs. 
<li>
</li></ul> 
Required Skills &amp; Experience
<ul><li>3&ndash;6 years of experience in data engineering, preferably in a consulting or enterprise environment.
</li><li>Strong hands-on experience with:
<ul><li>Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, and Azure Functions.
</li><li>Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, and Databricks Workflows.
</li></ul></li><li>Proficiency in Python and SQL for large-scale data processing and transformation.
</li><li>Solid understanding of data modeling, medallion architecture, and lakehouse principles.
</li><li>Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, Azure DevOps).
</li><li>Knowledge of data governance, lineage, and observability tools.
</li><li>Experience with performance optimization, cost control, and best practices in cloud environments.
</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, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Azure and Databricks Data Engineer, Senior Associate

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