business intelligence engineer

Brigham Young University

<div>Why Work at BYU
As the flagship higher education institution of The Church of Jesus Christ of Latter-day Saints, Brigham Young University (BYU) strives to be among the exceptional universities in the world. At BYU, we are devoted to our faith and to our students. We take an active role in the University's Mission: &quot;To assist individuals in their quest for perfection and eternal life.&rdquo; 
Our unique mission, deeply rooted in the Gospel of Jesus Christ, provides countless ways to serve and make an impact. This, along with our remarkable culture of belonging, weekly devotionals, and endless opportunities for learning and growth&mdash;all situated within a beautiful and historic campus&mdash;make it hard to imagine a more inspiring place to work.
Brigham Young University strongly prefers to hire faithful members of The Church of Jesus Christ of Latter-day Saints.
Data and Business Intelligence Engineer
We are looking for a data and business intelligence (BI) engineer to help us modernize data access and data-driven decision-making. In this position, you will design, develop, and support data and business intelligence applications. These applications include: extract, transform, and load (ETL) workflows; data warehouses and data marts; and interactive reports and dashboards. Additional duties include database design, requirements analysis, and customer consultation. Required technical skills include
What you will be doing in this position
Report &amp; Dashboard Development
<ul><li>Provide technical support to campus report developers.
</li><li>Query and modify multiple types of database systems: relational, key-value, graph, data warehouse, etc.
</li></ul>Data and Business Modeling
<ul><li>Data modeling: analyze and define database structures based on business models.
</li></ul>Data Movement and Integration
<ul><li>Optimize ETL workflows
</li></ul>Database Analysis, Documentation, &amp; Problem Resolution
<ul><li>Identify, analyze, and resolve technical problems.
</li><li>Ensure that all proposed system changes have been adequately planned and reviewed eliminating the possibility of unplanned service outages.
</li></ul>BI/Data Standards
<ul><li>Recommend/lead in creating standards for Data and BI Engineers to follow.
</li><li>Ensure compliance with technical and architectural standards.
</li></ul>What qualifies you for this role
Education and Experience
This position provides an opportunity for people of varying levels of skill. If you have a lot of education, experience, and skill, we&rsquo;ll compensate you accordingly. If you are early in your career, this could be a great opportunity for you, too. Different levels of pay are assigned by the hiring department depending on experience/education/skills and business needs.
<ul><li>Level 53: Bachelor&rsquo;s degree or four years of a combination of education and Data &amp; BI experience. ($73,000-$95,000)
</li><li>Level 54T: Bachelor&rsquo;s degree and two years of Data &amp; BI experience, or an equivalent combination of relevant education and Data &amp; BI experience required. ($88,000-$114,000)
</li><li>Level 55T: Bachelor&rsquo;s degree and five years of Data &amp; BI experience, or master&rsquo;s degree and 3 years Data &amp; BI experience, or an equivalent combination of relevant education and Data &amp; BI experience is required. ($102,000-$132,500)
</li></ul>Skills, abilities, or knowledge
Desired experience with:
<ul><li>PostgreSQL
</li><li>Oracle
</li><li>SQL
</li><li>Linux
</li><li>AWS
</li><li>Bash
</li><li>Python
</li><li>Data Build Tool (dbt)
</li><li>Informatica
</li><li>JavaScript/TypeScript
</li><li>APIs
</li><li>Go
</li><li>Terraform
</li><li>Docker
</li></ul>What we offer in return:
In addition to our competitive pay structure, this position comes with fantastic benefits , including:
<ul><li>401k. BYU automatically contributes 8% at no cost to you. Additionally, if you contribute 5%, BYU adds an additional 4% (Rehires may qualify for different retirement plans)
</li><li>Excellent work-life balance: 13 paid holidays + 22 days paid vacation + 12 sick days, accrued annually
</li><li>Employee assistance program, available to the employee and all members of their household
</li><li>Tuition benefits for employees and eligible family members
</li><li>Access to athletic facilities
</li><li>Excellent medical/dental benefits
</li><li>Short/long-term disability benefits
</li><li>Paid parental and maternity leave
</li><li>Wellness Program
</li><li>Free on-campus parking
</li><li>Free UTA passes for employees, spouses, and qualified dependents
</li><li>Discounts at the BYU Store and for many events at BYU
</li></ul>Required Documents:
All Staff positions require a resume.
Refer to the Job Posting for any additional required documents.
Members of The Church of Jesus Christ of Latter-day Saints must hold and be worthy to hold a current temple recommend.
Brigham Young University is an equal opportunity employer, including disability and protected veteran status.
Brigham Young University (BYU) is widely recognized not just for its world-class education, but for its deep commitment to inspired religious values. Gathered together in a Christ-centered atmosphere, BYU employees are a vital part of a community of belonging, where we value the experiences, perspectives, and talents of each individual. If you share in our devotion to faith and to excellence, we have a place for you here at BYU!</div>

Data and BI 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:
 
 Data Warehouse, Computer Science, Business Intelligence, Project Manager, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
 </li>
 <li>
 Implement Data Integration Tools: Utilize IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 <li>
 Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Data Integration Solution Design: Experience with designing and building solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 ETL Process Development: Experience in creating and implementing Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, adhering to best practices and industry standards.
 </li>
 <li>
 Data Integration Tool Implementation: Experience with utilizing IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 Data Flow Optimization: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 <li>
 Data Integration Solution Evaluation: Experience in continuously evaluating and improving data integration solutions, identifying opportunities for process improvements and efficiency gains.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Data Integration Tool Expertise: Experience with utilizing IBM's WebSphere Data Integration Suite, Informatica, Ab Initio software, and DataStage to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 ETL Process Optimization: Experience in optimizing ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
 </li>
 <li>
 Data Flow Troubleshooting: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 </ul>
</div>

Senior Data Engineer - Data Integration

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you! 
 
The ARCADE Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multichannel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns. 
 
The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs. 
 
Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions.
 
 
Key job responsibilities 
<ul><li>Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.</li><li>Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports.</li><li>Conduct ad hoc data analysis and data quality investigations.</li><li>Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.</li><li>Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.</li><li>Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis</li><li>Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations</li><li>Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models</li><li>Understanding of Amazon&rsquo;s data resources, which to use, how, and when</li></ul> 
About the team 
Amazon's Multichannel Commerce and Fulfillment (MCCF) is transforming global retail. We enable entrepreneurs worldwide to reach customers through any sales channel they choose. Through Multichannel Fulfillment (MCF), sellers can efficiently manage and fulfill orders across their sales channels. 
 
Buy with Prime extends Prime benefits beyond Amazon.com, offering fast, free shipping, seamless checkout, and free returns on merchants' own online stores. This innovation increases product selection for Prime members while helping merchants boost their sales. 
 
For over two decades, Amazon has empowered small and medium-sized businesses to grow. MCCF represents our next evolution in supporting merchants of all sizes&mdash;both on and off Amazon's platform.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually</div>

Business Intel Engineer, Multi Channel Fulfillment

Metropolis Technologies

<div>
 
 Who We Are
 
 
 
 The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
 
 
 
 Who You Are
 
 
 
 As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
 </li>
 <li>
 Design and own data architecture for large-scale projects while managing operational trade-offs
 </li>
 <li>
 Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
 </li>
 <li>
 Define and manage Service Level Agreements (SLAs) for all owned data sets
 </li>
 <li>
 Implement data security models, ensure privacy compliance, and evolve data governance processes
 </li>
 <li>
 Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
 </li>
 <li>
 Maintain production processes by optimizing complex code using advanced algorithmic concepts
 </li>
 <li>
 Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
 </li>
 <li>
 Mentor team members through actionable feedback to foster collective skill growth
 </li>
 <li>
 Maintain flexibility with availability during evening hours
 
 
 </li>
 </ul>
 
 What we're looking for
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
 </li>
 <li>
 master's degree is preferred
 </li>
 <li>
 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
 </li>
 <li>
 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
 </li>
 <li>
 Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
 </li>
 <li>
 Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
 </li>
 <li>
 Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
 </li>
 <li>
 Ability to deliver high standards of code quality, system reliability, and performance
 </li>
 <li>
 Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
 </li>
 <li>
 Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
 
 
 </li>
 </ul>
 
 While not required, these are a plus:
 
 
 
 <ul>
 <li>
 Experience with Spark and PySpark
 </li>
 <li>
 Master's degree in Computer Science, Computer Engineering, or a relevant technical field
 
 
 </li>
 </ul>
 
 4 Days in Office:
 
 Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
 
 
 
 When you join Metropolis, you&rsquo;ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis&rsquo;s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
 
 
 
 
 Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate&rsquo;s application relative to the required job qualifications and responsibilities listed in the job posting.
 
 
 
 
 As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
 
 
 
 
 Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
 
 
 
</div>

Senior Data Engineer

RA Capital Management

<div>
 Imagine if you had the skills, knowledge, and teammates to both understand the root of the world&rsquo;s most pressing problems and build the technologies and companies best positioned to solve them.
 
 RA Capital
 
 has done exactly that for more than two decades, backing bold ideas in medicines to further human health and now expanding into Planetary Health to improve how efficiently we utilize the world&rsquo;s precious resources.
 
 
 RA Capital is among the leading providers of capital and services to the most promising innovators in the world. We invest flexibly&mdash;seed to IPO and beyond, anywhere in the world&mdash;with $10 B+ under management and a culture that prizes curiosity, rigor, and collaborative debate. We are investors who not only fund companies but get elbow deep in building them. From helping them recruit talent to helping them recruit patients for their studies to helping match them to strategic partners and even going to Washington to win reforms, RA Capital&rsquo;s large team has people with nearly every relevant expertise one might need to turn an idea into a cure that actually helps people.
 
 
 If you live for first-principles problem-solving with great colleagues, thrive on complexity, and want to do meaningful work that ripples across industries and ecosystems, you&rsquo;ll feel at home at RA Capital. Here, questions are welcomed, ideas are tested, and victories are shared. Even our lawyers are creative and engaging. And don&rsquo;t get us started on our compliance team&rsquo;s wicked sense of humor; nothing about what we do is boring.
 
 
 Are you ready to bring your creativity, discipline and collaborative spirit to help us invent the future? Join us and you&rsquo;ll collaborate daily with investors, founders, physicians, biologists, engineers, economists, and reform advocates who think in systems and act with urgency.
 
 
 Join us to invent a happier, healthier, more productive future - and have fun doing it.
 
 
 Role Overview
 
 
 As a Data Solutions Engineer, you&rsquo;ll play a critical role in shaping how data powers investment decisions across breakthrough biomedical and climate technologies. You&rsquo;ll work at the intersection of data engineering, analytics, AI-enabled workflows, and business strategy to build scalable solutions that transform complex datasets into actionable insights.
 
 
 In this role, you&rsquo;ll partner directly with investment, operations, and business teams to identify opportunities where data and automation can drive smarter decisions and operational efficiency. You&rsquo;ll design and deliver modern data solutions spanning analytics dashboards, cloud data platforms, lightweight pipelines, and AI-assisted workflows that support both strategic research and day-to-day business operations.
 
 
 You&rsquo;ll join a collaborative, technically ambitious environment where curiosity, experimentation, and ownership are highly valued &mdash; and where the systems you build directly contribute to funding innovations that can improve and extend human lives.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and deliver end-to-end data and analytics solutions, from initial concept and MVP through production deployment
 </li>
 <li>
 Build dashboards and analytical applications that provide actionable insights to investment and business stakeholders
 </li>
 <li>
 Develop and manage scalable data pipelines in partnership with the Data Engineering team, while independently owning lighter-weight workflows and integrations
 </li>
 <li>
 Support and administer modern cloud data platforms including Databricks, Snowflake, Sigma Computing, and Dash Enterprise
 </li>
 <li>
 Partner directly with business teams to identify data opportunities, gather requirements, scope projects, and translate business needs into technical implementations
 </li>
 <li>
 Prototype and evaluate new AI-enabled workflows, agents, and automation techniques to improve data accessibility and operational efficiency
 </li>
 <li>
 Apply and uphold data governance standards including data cataloging, metadata management, classification, and documentation best practices
 </li>
 <li>
 Monitor platform performance, manage user access, and help optimize the reliability and scalability of our data ecosystem
 </li>
 <li>
 Document technical processes, data models, and project outcomes to ensure maintainability and knowledge sharing across the organization
 </li>
 <li>
 Contribute to a collaborative, mentorship-driven engineering culture focused on continuous improvement and technical excellence
 
 
 </li>
 </ul>
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related technical field
 </li>
 <li>
 2&ndash;5 years of experience building data, analytics, or business intelligence solutions in a professional environment
 </li>
 <li>
 Experience working with modern cloud-based data platforms and analytics tooling
 </li>
 <li>
 Healthcare, biotechnology, life sciences, and/or financial services experience strongly preferred
 </li>
 <li>
 Experience working in fast-paced, highly collaborative environments with multiple stakeholders
 </li>
 <li>
 Ability to work in a hybrid environment in our Boston office, 2-3 days onsite per week
 </li>
 <li>
 Must be eligible to work in the US without sponsorship now or in the future, no transfers
 
 
 </li>
 </ul>
 Technical Requirements
 
 
 <ul>
 <li>
 Strong proficiency in SQL and Python for analytics, data transformation, and pipeline development
 </li>
 <li>
 Experience with PySpark and distributed data processing frameworks
 </li>
 <li>
 Hands-on experience with Databricks, Snowflake, and AWS-based data infrastructure
 </li>
 <li>
 Proficiency with BI and analytics platforms such as Sigma Computing and Dash Enterprise
 </li>
 <li>
 Familiarity with orchestration, workflow automation, and lightweight ETL/ELT development
 </li>
 <li>
 Strong understanding of data modeling, data quality, and data governance best practices
 </li>
 <li>
 Curiosity and practical interest in applying AI, agents, and automation to data workflows and business problems
 </li>
 <li>
 Experience building MVPs, proofs-of-concept, or rapidly iterating on technical solutions
 </li>
 <li>
 Familiarity with APIs, integrations, and modern software engineering practices is a plus
 </li>
 <li>
 Exposure to AI-assisted development tools and agentic workflows (e.g., Claude Code, Codex, MCPs, automation agents) strongly preferred
 
 
 </li>
 </ul>
 
 Additional Requirements
 
 
 
 <ul>
 <li>
 Excellent English communication skills with the ability to work effectively across technical and non-technical teams
 </li>
 <li>
 Strong problem-solving mindset with a high degree of curiosity and ownership
 </li>
 <li>
 Ability to independently manage projects while balancing multiple priorities in a fast-paced environment
 </li>
 <li>
 Comfortable navigating ambiguity and identifying practical, scalable solutions
 </li>
 <li>
 Strong attention to detail in documentation, governance, and operational reliability
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 RA Capital Management is committed to fair and equitable compensation practices. Pay for this position will be based on experience, skills, qualifications, and current market conditions.
 
 
 In addition to base salary (listed below), employees may be eligible for performance-based bonuses and a comprehensive benefits package that includes health insurance, retirement contributions, and paid time off.
 
 
 Total Rewards
 
 
 
 Benefits
 
 
 
 We take pride in offering a comprehensive employee benefits program as a key part of overall compensation. Our Total Rewards include:
 
 
 <ul>
 <li>
 Employer-paid monthly premiums for health, dental, and vision coverage
 </li>
 <li>
 Wellness benefits and programs to support physical and mental well-being
 </li>
 <li>
 Resources and perks that enhance work-life balance and financial security
 
 
 </li>
 </ul>
 We&rsquo;re dedicated to helping our employees thrive professionally and personally.
 
 
 Massachusetts base pay range
 
 
 $120,000 - $180,000 USD
 
 
 
 RA Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you require an accommodation during the interview process, please reach out to careers@racap.com for assistance.
 
</div>

Data Solution Engineer

Deloitte

<div>
 
 Senior Data &amp; Analytics Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 The team sits within AI &amp; Data consulting group. You&rsquo;ll be working on a range of initiatives and projects across different sectors.
 
 
 Our Projects Vary Greatly And Your Responsibility As a Consultant Will Differ Based On The Focus Of The Client Engagement And Your Skillset. However, Your Role Could Include And May Require You To:
 
 
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 Design or build part of a data solution such as an ETL component, data warehouse or reporting solution, data virtualization implementation.
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 Work with client stakeholders to design the source to target mappings for a large-scale data migration.
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 Advise clients on appropriate tooling for a particular solution based on your expertise in specific technologies.
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 Conduct stakeholder interviews or support client workshops to capture business or technical requirements for a data solution.
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 Support the development of client bids and presentations of proposals.
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 Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.
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 Develop and grow the Delivery practice by contributing to the development and delivery of training content, reusable assets, playbooks, and industry / technology propositions as well as actively participating in community events to share knowledge and nurture positive and collaborative relationships within the practice.
 
 
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 Connect To Your Skills And Professional Experience.
 
 
 
 
 The ideal candidate for this position will possess a range of personal qualifications and skills that will enable them to excel in this role.
 
 
 3 - 6 years of relevant experience.
 
 
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 Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
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 Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
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 Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
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 Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
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 Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
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 Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
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 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering and analytics.
 
 
 Candidates will have hands on experience with one or more technologies relevant to these areas:
 
 
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 Data Integration (including ETL / ELT).
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 Data Migration.
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 Master Data Management.
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 Business Intelligence and Reporting.
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 Data Warehousing.
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 Data Virtualization.
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 Big Data Engineering.
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 Business and Data Analysis.
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 Data Governance.
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 Data Cataloguing.
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 Data Quality.
 
 
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 We Are Specifically Looking For Candidates With Both Technical And Business Focused Skills, Who Can Articulate The Outcomes And Value Of Their Work, And Have Working Experience In Some Of The Following:
 
 
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 Experience of working as a data analyst with ability to translate business requirements into functional and technical data designs.
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 Ability to demonstrate stakeholder management skills and collaborate effectively within multidisciplinary teams.
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 Experience in Agile and/or DevOps for software development &amp; IT operations and knowledge of SDLC.
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 Experience in ETL tools such as Informatica, SSIS, Talend or Pentaho.
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 Knowledge of data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra.
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 Knowledge of one or more databases such as MySQL, SQL Server, Oracle, Snowflake, PostgreSQL, and NoSQL databases.
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 Familiarity with programming languages such as Spark or Python.
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 Familiarity with popular cloud platforms such as Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop.
 
 
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 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Connect to your Industry.
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, Consulting
 
 
 
 Personal independence.
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step.
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
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Deloitte Innovation Hub I Senior Data & Analytics Engineer, Cairo, Egypt

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