data analytics engineer

IXIS

<div><p><b>About IXIS</b></p><p>
IXIS is a digital consultancy and technology company that empowers organizations to make smarter, faster decisions through the seamless integration of strategy, technology, and analytics. Since 2012, we&rsquo;ve helped leading brands harness their marketing, advertising, and customer experience data to unlock insights, improve performance, and achieve digital transformation. Our expert team spans media strategy, data governance, analytics enablement, and platform implementation.</p><p>
At the heart of our offering is ATLAS, our proprietary data activation platform, which simplifies complex data challenges by consolidating, transforming, and delivering data across tools, teams, and workflows. With ATLAS, our clients gain full visibility and control over their data ecosystems, driving measurable results and operational efficiency.</p><p>
We offer competitive compensation packages including health, dental, short-term and long-term disability and vision insurance, 401(k) with company match, flexible work schedules, wellness plan, and exceptional growth opportunities.</p><p>
This is a full-time remote position with the option of working from our office in Burlington, VT.</p><p><b><br>
Overview:</b> IXIS is seeking a senior-level Data Analytics Engineer to join our Data Analytics Engineering (DAE) team. You will play a key role in managing and evolving our data ingestion, sanitation, and transformation pipelines. Our team handles complex client data, joining Adobe and GA4 clickstream data with social, CRM and other business data to create metrics and segments that power our data visualization products.</p><p>
This is a hands-on individual contributor (IC) role. You will be expected to lead by example through high-quality design, coding, and problem-solving and contribution to technical direction.</p><p>
You will be complementing an experienced team lead and will collaborate with other team members while contributing your own perspective and best practices. We are particularly interested in candidates who have seen different ways of doing things and can help us evolve by improving our data quality, scalability, and overall pipeline performance.</p><p>
This is a high-impact role where you&rsquo;ll help shape our technical direction, improve existing systems, and introduce new tools and workflows to make our data products even better.</p><p><b>
Success in this role looks like:</b></p><ul><li>
Designing performant data pipelines for ingestion and transformation of complex datasets into usable data products.</li><li>
Building scalable infrastructure that supports hourly, daily, and weekly update cycles.</li><li>
Implementing automated QA checks and monitoring that catch data anomalies before they reach clients.</li><li>
Re-architecting parts of our system to improve performance or reduce cost.</li><li>
Supporting team members through code reviews and collaboration.</li></ul><p><b>
Team &amp; Collaboration:</b><br>
You&rsquo;ll be working alongside a senior team lead who sets technical direction, while also collaborating with other engineers, QA, data scientists, and client teams. You&rsquo;ll be expected to contribute both as a builder and a mentor (everyone is a mentor, it&rsquo;s part of our culture).</p><p><b>
Responsibilities:</b></p><ul><li>
Build enterprise-grade batch and real-time data processing pipelines using AWS with a focus on serverless architectures.</li><li>
Design and implement automated ELT processes to integrate disparate datasets.</li><li>
Work across multiple teams to ingest, extract, and process data via Python, R, zsh, SQL, REST, and GraphQL APIs.</li><li>
Join and transform clickstream and CRM data into meaningful metrics and segments for visualization.</li><li>
Create automated acceptance, QA, and reliability checks for business logic and data integrity.</li><li>
Design appropriately normalized schemas and determine when to use SQL vs NoSQL solutions.</li><li>
Optimize infrastructure and schema design for performance, scalability, and cost.</li><li>
Help define and maintain CI/CD and deployment pipelines for data infrastructure.</li><li>
Containerize and deploy solutions using Docker and AWS ECS.</li><li>
Proactively identify and resolve data discrepancies and implement safeguards to prevent recurrence.</li><li>
Contribute to documentation, onboarding materials, and cross-team enablement.</li></ul><p><b>
Required Education and Skills:</b></p><ul><li>
B.A./B.S. in Computer Science, Software Engineering, or a related field; training in statistics/mathematics/machine learning is a plus.</li><li>
3-5 years of experience building scalable, reliable data pipelines and data products in a cloud environment (AWS preferred).</li><li>
Deep understanding of ELT processes and data modeling principles.</li><li>
Strong programming skills in Python (or similar scripting languages).</li><li>
Advanced SQL skills and intermediate to advanced relational database design experience.</li><li>
Familiarity with joining large behavioral datasets like Adobe and GA4 clickstream data.</li><li>
Excellent problem-solving skills and attention to data detail.</li><li>
Experience managing and prioritizing multiple initiatives with minimal supervision.</li></ul><p><b>
Additional Desired Skills:</b></p><ul><li>
Experience with dbt or other transformation-layer tools.</li><li>
Familiarity with Docker containerization and orchestration.</li><li>
Experience with statistical programming (R or Python preferred).</li><li>
API design or integration experience for data pipelines.</li><li>
Experience developing in a Linux or Mac environment.</li><li>
Exposure to data QA frameworks or observability tools (e.g. Great Expectations, Monte Carlo, etc.).</li></ul><p>
If you&rsquo;re passionate about turning raw data into reliable, actionable insight&mdash;and want to help shape the future of data engineering at a growing SaaS company&mdash;we&rsquo;d love to hear from you.</p></div>

Data Analytics Engineer

SDG Group Middle East

<div>
 <p>
  SDG Group is expanding its global Data &amp; Analytics practice and is seeking a motivated
  <strong>
   Data Analytics Engineer
  </strong>
  with 3 to 6 years
  <strong>
   of experience
  </strong>
  in DataOps. The ideal candidate has strong hands-on experience with either
  <strong>
   Databricks or Snowflake
  </strong>
  , alongside solid understanding of modern cloud data platforms and best practices in data engineering.
 </p>
 <p>
  This role offers a
  <strong>
   full-time employment contract in USD
  </strong>
  , allowing remote work on
  <strong>
   international projects
  </strong>
  aligned with the
  <strong>
   European working week (Monday to Friday).
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <br/>
   <br/>
   Key Responsibiliti
  </strong>
 </p>
 <ul>
  <li>
   esDesign, build, and maintain scalable and reliable data pipelines following DataOps best practic
  </li>
  <li>
   esWork with modern cloud data stacks usin
   <strong>
    g Databric
   </strong>
   ks (Spark, Delta Lake) o
   <strong>
    r Snowfla
   </strong>
   ke (Snow pipe, tasks, stream
  </li>
  <li>
   s)Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration too
  </li>
  <li>
   lsWork with Azure data services (ADF, ADLS, Azure SQL, Azure Function
  </li>
  <li>
   s)Implement CI/CD practices using Azure DevOps or Git-based workflo
  </li>
  <li>
   wsEnsure data quality, consistency, and governance across all delivered data solutio
  </li>
  <li>
   nsMonitor and troubleshoot pipelines for performance and operational excellen
  </li>
  <li>
   ceCollaborate with international teams, architects, and analytics consultan
  </li>
  <li>
   tsContribute to technical documentation and solution design asse
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ts
   <br/>
   Required Skills &amp; Qualificati
  </strong>
 </p>
 <ul>
  <li>
   onsBachelor&rsquo;s degree in computer science, Engineering, Information Systems, or related fi
  </li>
  <li>
   e
   <strong>
    ldHands-on experie
   </strong>
   nce in DataOps / Data Engineer
  </li>
  <li>
   ingStrong knowledge
   <strong>
    in Databricks OR Snowfl
   </strong>
   ake (one of them is mandato
  </li>
  <li>
   ry)Proficiency
   <strong>
    in Python and
   </strong>
  </li>
  <li>
   SQLExperience wi
   <strong>
    th Az
   </strong>
   ure data ecosystem (ADF, ADLS, Synapse, et
  </li>
  <li>
   c.)Understanding of CI/CD practices and DevOps for da
  </li>
  <li>
   ta.Knowledge of data modeling, orchestration frameworks, and monitoring to
  </li>
  <li>
   olsStrong analytical and troubleshooting ski
  </li>
  <li>
   llsEagerness to learn and grow in a global consulting environm
  </li>
 </ul>
 <p>
  <strong>
   entNice to H
  </strong>
 </p>
 <ul>
  <li>
   aveExperience with Delta Live Tables, Unity Catalog, or Lakehouse conce
  </li>
  <li>
   ptsKnowledge of BI tools (Power BI, Qli
  </li>
  <li>
   ck)Exposure to Agile / Scrum framewo
  </li>
  <li>
   rksRelevant certifications (Azure Data Engineer, Databricks, Snowfla
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ke)
   <br/>
   What We O
  </strong>
 </p>
 <ul>
  <li>
   fferRemote working model aligned with international project n
  </li>
  <li>
   eedsFull-time employment contract wit
   <strong>
    h a USD-based compensation pac
   </strong>
  </li>
  <li>
   kageOpportunity to work on European and global engagem
  </li>
  <li>
   entsMentorship and growth paths within SDG G
  </li>
  <li>
   roupA dynamic, innovative, and collaborative environ
  </li>
  <li>
   mentAccess to world-class training and learning platf
  </li>
 </ul>
 <p>
  <br/>
 </p>
 orms
</div>


Senior Data Analytics Engineer

Steelcase

<div></div><div><div>We are hiring an <b>Analytics Engineer</b> plays a crucial role at the intersection of Data Engineering, Data Science, and Business Intelligence, producing and maintaining descriptive analytics solutions that drive value to the business.</div><div></div><div><b><br>
Supporting Meaningful Work
</b></div><div><ul><li>Work collaboratively with business partners and cross-functional teams to understand business context and needs and deliver on analytics requirements to solve problems. This involves collecting, cleaning, and harmonizing data to create and maintain analytics-ready datasets and analyzing data to create compelling visualizations.</li></ul></div><div>
The output of the Analytics Engineer recommends problem-solving action and enables strategic decision-making in the business.<br>
</div><div></div><br>
<div><b>Who You Are
</b></div><div><ul><li>Strong analytical and problem-solving skills with the ability to interpret complex datasets and provide insights for action
</li><li>Strong communication and storytelling skills, ability to communicate about data insights with a diverse audience
</li><li>Ability to collaborate on multi-disciplinary Agile teams to deliver analytics solutions
</li><li>Experience in understanding business stakeholders&rsquo; processes and problems and translating into data and analytics solutions
</li><li>Ability to consult and collaborate with business stakeholders to enable self-service analytics using data in the Lakehouse</li></ul></div><div><b>
Minimum Qualifications
</b></div><div><ul><li>Bachelor&rsquo;s degree required; advanced degree in Statistics, Data Science, Information Systems, Business Analytics or related fields is preferred
</li><li>2+ years of prior independent, academic, internship, or work-related experience
</li><li>Knowledge of statistics including distributions, outliers, normalization, and trends for responsible data analysis
</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly, Streamlit) to create compelling visual analytics
</li><li>Familiarity with cloud data platforms such as Databricks or Snowflake for deploying analytics solutions
</li><li>Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
</li><li>Proficiency in working with structured and unstructured data
</li><li>Experience in data modeling and designing efficient ETL processes, with a particular focus on implementing Medallion Architecture within a Data Lakehouse environment
</li><li>Experience in producing analytics-ready datasets through cleaning, transformation, and harmonization
</li><li>Understanding of data quality, governance, and security best practices
</li></ul><div><div><b>Work Authorization:</b></div><div>
Qualified applicants must be authorized to work in the United States on a full-time basis. Steelcase will not provide support for or sponsor work authorization and/or visas for this role.</div></div></div><div></div><div><b><br>
Helping Our People Thrive</b></div><div><ul><li>
Steelcase offers competitive wages and benefits, to support your life in and out of work
</li><li>Learning is the foundation of everything we do, and there is no shortage of development opportunities to grow and upskill</li><li>
Culture is a lifestyle at Steelcase and we live it every day
</li><li>Opportunity to make an impact on the world through Steelcase&rsquo;s commitment to people and planet</li></ul></div><div><b>
Doing better for people and planet
</b></div><div>Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens.<br>
</div><div></div><br>
<div><b>Why People Choose to Work with Us:
</b></div><div>At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities.<br>
</div><div></div><br>
<div>Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. If we can make the application process easier through accommodation, please email us at myhr@steelcase.com.<br>
</div><div></div><br>
<div><div>The annual base salary range for this position is $76,000 &ndash; $100,000. Please note that the salary information is a general guideline only. Steelcase considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.</div></div><div></div><div><br>
#LI-Hybrid
</div><div>#LI-DM1</div></div><div></div>

State of Wisconsin Investment Board

<div><p><b>Making a Difference
</b></p><p>The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $178 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB&rsquo;s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB.
</p><p>Serving more than 703,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS.
</p><div>SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee.
</div><div></div><div><b>Home To Top Talent
</b></div><div>Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB&rsquo;s investment professionals are Chartered Financial Analyst (CFA) charterholders.
</div><div></div><p><b>Job Description:
</b></p><p>The Data Analytics Engineering Team is a growing, client service-oriented team. We are business-centric working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs. In partnership with Technology, we are transforming SWIB into a premier data driven organization.
</p><p></p><p><b>Essential activities:
</b></p><ul><li>Help develop and manage data quality metrics and dashboards.
</li><li>Proactively manage data by reviewing processes and identifying improvements.
</li><li>Track data related problems, analyze root causes, research solutions and suggest fixes.
</li><li>Support the development of an enterprise-wide metadata management repository.
</li><li>Establish and update SWIB&rsquo;s common business glossary and enhance the definitions where needed.
</li><li>Communicate data related updates to business partners and stakeholders.
</li><li>Work with front and middle office partners to identify opportunities for improvement.
</li><li>Assist with documenting procedures and policies as part of the Data Governance model.
</li><li>Partner with IT, 3rd party contractors and vendors in data related project initiatives.
</li></ul><p></p><p><b>The Ideal candidate:
</b></p><div><ul><li>Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2026.
</li><li>Undergraduate student studying Computer Science, Information Technology, Library Sciences, Business, Finance.
</li><li>Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage).
</li><li>Familiarity with Data Governance concepts such as Metadata, Data Quality etc.
</li><li>Basic knowledge of relational databases such as Oracle, SQL Server, Snowflake and SQL language.
</li><li>Ability to change and create new REST API services with GITLAB integration.
</li><li>Flask with Python web framework.
</li><li>Comfort with ambiguity.
</li><li>Strong analytical and problem-solving skills.
</li><li>Effective communication skills.
</li><li>Knowledge of Excel.
</li><li>Basic understanding of investment management.</li></ul></div></div><p></p>

Data Analytics Engineer Intern

Praescient Analytics

<b>Company:</b> Praescient Analytics
<br><b>Location:</b> Hybrid (Remote with on-site support in Washington, DC as needed)
<br><b>Clearance:</b> Minimum of a Public Trust
<br><b>Employment Type:</b> Full-Time
<br><br>
Position Overview
<br><br>
Praescient Analytics is seeking a highly skilled Data Analytics Engineer to support the Department of Justice (DOJ), Justice Management Division (JMD). This role will act as a technical lead and subject matter expert (SME) for Power Platform-based data analytics solutions, enabling mission-critical insights and application development.
<br><br>
This position plays a central role in designing, developing, and deploying enterprise-grade data solutions leveraging Microsoft's Power Platform ecosystem in a secure federal environment. “US Citizenship is Required.”
<br><br>
Key Responsibilities
<br><br>
<ul>
<li>Serve as the technical lead for end-to-end development of Power Platform solutions</li>
<li>Design, develop, test, and deploy applications using:</li>
<li>Power BI</li>
<li>Power Apps</li>
<li>Power Automate</li>
<li>Perform data modeling, transformation, and integration across multiple data sources</li>
<li>Develop intuitive dashboards, reports, and user interfaces for stakeholders</li>
<li>Provide technical guidance and best practices for Power Platform implementations</li>
<li>Lead architectural design and contribute to solution strategy</li>
<li>Gather and refine requirements through stakeholder engagement</li>
<li>Troubleshoot system issues and implement enhancements</li>
<li>Deliver technical briefings, documentation, and presentations</li>
<li>Collaborate with DOJ OCIO and ASB stakeholders to align solutions with enterprise strategy</li>
</ul>
<b>Required Qualifications:</b><br>
<ul>
<li>Minimum 5+ years of relevant experience in data analytics, application development, or data engineering</li>
<li>Demonstrated experience with:</li>
<li>Microsoft Power Platform (Power BI, Power Apps, Power Automate)</li>
<li>Data modeling and transformation</li>
<li>Dashboard and report development</li>
<li>Proven ability to serve as a technical lead or SME</li>
<li>Prior Experience supporting federal clients, preferably DOJ</li>
<li>Public Trust or higher level security clearance</li>
<li>Bachelor's degree in a related field</li>
</ul>
Technical Skills
<br><br>
<ul>
<li>Strong expertise in Power Platform architecture and development</li>
<li>Experience integrating and analyzing data from multiple sources</li>
<li>Familiarity with Microsoft ecosystem tools such as:</li>
<li>Azure</li>
<li>Office 365</li>
<li>SharePoint</li>
<li>Ability to design scalable, user-friendly data solutions</li>
</ul>
Preferred Qualifications
<br><br>
<ul>
<li>Knowledge of low-code/no-code development environments</li>
<li>Experience working in FedRAMP-authorized cloud environments</li>
<li>Strong communication skills with the ability to present to technical and non-technical audiences</li>
</ul>
<b>Clearance:</b> Minimum of a Public Trust (U.S. Citizenship is Required)
<br><br>
<b>What you can expect from us:</b><br>
<ul>
<li>Real opportunity for career growth in an environment where your achievements will be celebrated</li>
<li>Constant collaboration with numerous teams to ensure client success</li>
<li>A team that respects and embraces your ideas and expertise</li>
<li>Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain</li>
<li>A workplace dedicated to supporting and bettering public safety and government agencies</li>
</ul>
<b>Benefits:</b><br>
<ul>
<li>Very competitive salary based on qualifications and experience</li>
<li>Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)</li>
<li>401(k) with company match</li>
<li>Travel & performance incentives</li>
<li>3 weeks paid time off (plus Federal Holidays)</li>
<li>$5K annual training allowance</li>
<li>$500 book allowance</li>
</ul>
Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.
<br><br>
Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
<br><br>
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
<br>US Citizenship Required
<br><b>Interested Candidates:</b> Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

Data Analytics Engineer (Public Trust)

<div><p><b>Sophisticated Work. In a Great City. Making a Difference.
</b></p><p>The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB&rsquo;s investment professionals are Chartered Financial Analyst (CFA) charterholders.
<br>
<br>
The City of Madison, the state capitol and home of Wisconsin&rsquo;s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.<br>
</p><p><br>
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
</p><p></p><p><b>Job Description:
</b></p><p></p><p><b>About the Team
</b><br>
The Data Delivery and Operations Division partners across Investment Management, Operations, Risk, and Technology to deliver trusted, timely, and analytics-ready data that powers investment decisions.<br>
</p><p><br>
The Data Analytics Engineering team serves as SWIB&rsquo;s enterprise owner of investment and reference data within the analytics environment. The team transforms raw data into governed, analytics-ready assets that support reporting, performance measurement, risk analysis, accounting, and downstream investment platforms.<br>
</p><p><br>
<b>Position Overview
</b><br>
The Manager, Data Analytics Engineering provides overall leadership and accountability for SWIB&rsquo;s investment data and analytics engineering function.<br>
<br>
</p><p>This role owns the integrity, availability, and quality of SWIB&rsquo;s investment data assets, including reference data, security master, and entity master domains. The Manager is accountable for data quality SLAs, daily data validation, and the reliability of analytics-layer data supporting investment, trading, risk, and portfolio management activities.<br>
<br>
</p><p>The Manager plays a critical role in overseeing the start-of-day data process to ensure investment teams have accurate and complete data to support daily trading and portfolio management decisions. This includes leading a 24x6 operational support model for data processing, validation, issue triage, and resolution.<br>
<br>
</p><p>This position also provides strategic oversight of key vendor relationships supporting investment and reference data, including SimCorp. The Manager ensures vendor performance aligns with SLAs, data quality expectations, and enterprise investment requirements.<br>
<br>
</p><p>The successful candidate combines strong investment data expertise, operational leadership capability, and proven people management experience. This role routinely applies significant judgment to moderate-to-complex business and data challenges and plays a central role in SWIB&rsquo;s enterprise data governance and operational readiness.<br>
<br>
</p><p><b>Essential Activities<br>
</b><br>
</p><div>Investment Data Ownership &amp; Master Data Management
<br>
<ul><li>Serve as enterprise owner of analytics-layer investment data, including reference data, security master, entity master, holdings, and related datasets.
</li><li>Lead SWIB&rsquo;s single source of truth strategy for security master and related master data domains.
</li></ul></div><ul><li>Establish governance standards, stewardship models, and documentation practices for master data assets.
</li><li>Rationalize redundant or conflicting data sources to improve consistency across the organization.
</li><li>Ensure alignment between master data architecture and investment, performance, risk, and accounting requirements.<br>
</li></ul><div>Business Translation &amp; Analytics Engineering
<br>
<ul><li>Partner closely with Investment Management, Operations, Risk, and ETL Engineering to translate business requirements into scalable analytics-ready data models.
</li><li>Partner with ETL Engineering and Technology to ensure analytics transformation processes align with enterprise architecture and operational standards.
</li><li>Provide architectural oversight for the analytics transformation layer to ensure data models, validation processes, and documentation practices meet enterprise standards.<br>
</li></ul></div><div>Data Quality &amp; Governance
<br>
<ul><li>Design and implement enterprise data quality frameworks within the analytics layer.
</li><li>Own and report on data quality SLAs, including timeliness, completeness, and accuracy metrics.
</li><li>Develop and publish recurring SLA and data quality reporting for leadership and stakeholders.
</li><li>Ensure data validation controls are embedded in daily processing workflows.
</li><li>Collaborate with upstream data providers and ETL Engineering to remediate systemic data issues.
</li><li>Embed governance controls into analytics datasets to improve auditability and
</li></ul>transparency.<br>
<br>
</div><div>Vendor &amp; Platform Relationship Management
<br>
<ul><li>Maintain strategic oversight of major vendor partners providing investment and reference data, including SimCorp.
</li><li>Ensure vendor deliverables meet contractual SLAs and enterprise data quality
</li></ul>expectations.
<br>
<ul><li>Lead regular governance meetings and performance reviews with SimCorp and other key vendors.
</li><li>Partner with Technology and Investment Operations to address vendor-related data or platform issues.<br>
</li></ul></div><div>Downstream Platform Support &amp; Operational Readiness
<br>
<ul><li>Own the start-of-day data readiness process in support of daily trading and portfolio management activities.
</li><li>Lead a 24x6 operational support model for data processing, validation, issue escalation, and resolution.
</li></ul></div><ul><li>Establish clear escalation procedures and incident response protocols for data-related production issues.
</li><li>Ensure analytics-layer datasets support reliable exports to downstream systems, including Order Management Systems (OMS), risk analytics platforms, and other investment technologies.
</li><li>Partner with Technology and ETL Engineering to maintain stable, governed export processes.<br>
</li></ul><div>Cloud &amp; Modernization Strategy
<br>
<ul><li>Co-design SWIB&rsquo;s future-state cloud data architecture in partnership with ETL
</li></ul>Engineering and Technology.
<br>
<ul><li>Define clear architectural swim lanes between ingestion/orchestration (ETL
</li></ul>Engineering) and transformation/governance (Analytics Engineering).
<br>
<ul><li>Collaborate with ETL Engineering and Technology to support controlled deployment
</li></ul>processes and production governance standards.
<br>
<ul><li>Advance automation, reliability, and engineering discipline across analytics workflows.<br>
</li></ul></div><div><br>
Staff Leadership &amp; Development
<br>
<ul><li>Lead, mentor, and develop a team of analytics engineering professionals.
</li><li>Conduct annual performance reviews and provide ongoing coaching.
</li><li>Elevate technical standards across the team in investment data modeling and
</li></ul>governance practices.
<br>
<ul><li>Align hiring profiles with evolving operational and enterprise data needs.
</li><li>Foster a culture of accountability, documentation, peer review, and continuous
</li></ul>improvement.<br>
<br>
</div><div><b>Qualifications Include
</b><br>
<ul><li>Bachelor&rsquo;s degree in Data Analytics, Engineering, Information Systems, or related field; advanced degree or certifications preferred.
</li><li>8&ndash;12+ years of progressive experience in analytics engineering, data architecture, or investment data management.
</li><li>Advanced SQL expertise and strong dimensional modeling experience.
</li><li>Experience working with cloud-based data platforms (Azure, Snowflake, or comparable platforms).
</li><li>Experience with master data management concepts and enterprise data governance.
</li><li>Strong understanding of investment industry data, including security master, holdings, benchmarks, performance, and risk.
</li><li>Demonstrated experience managing and developing technical staff.
</li><li>Familiarity with modern production governance and controlled deployment practices preferred.<br>
</li></ul></div><p></p><div>SWIB Offers:
</div><div></div><ul><li>Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
</li><li>Comprehensive benefits package
</li><li>Educational and training opportunities
</li><li>Tuition reimbursement
</li><li>Challenging work in a professional environment
</li><li>Hybrid work environment
</li></ul><div></div><div>The position requires U.S. work authorization.
</div><div></div><div>Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
</div><div></div><div>All SWIB employees are subject to SWIB&rsquo;s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB&rsquo;s talent acquisition team and any questions can be answered by SWIB&rsquo;s compliance team.</div></div>

Data Analytics Engineer Manager

Deloitte

<div>
 <strong>
  Senior Data &amp; Analytics Engineer, Cairo, Egypt
  <br/>
  <br/>
 </strong>
 <strong>
  Connect to your career at Deloitte
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Connect to your opportunity.
  <br/>
  <br/>
 </strong>
 The team sits within AI &amp; Data consulting group. You&rsquo;ll be working on a range of initiatives and projects across different sectors.
 <br/>
 <br/>
 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:
 <br/>
 <br/>
 <ul>
  <li>
   Design or build part of a data solution such as an ETL component, data warehouse or reporting solution, data virtualization implementation.
  </li>
  <li>
   Work with client stakeholders to design the source to target mappings for a large-scale data migration.
  </li>
  <li>
   Advise clients on appropriate tooling for a particular solution based on your expertise in specific technologies.
  </li>
  <li>
   Conduct stakeholder interviews or support client workshops to capture business or technical requirements for a data solution.
  </li>
  <li>
   Support the development of client bids and presentations of proposals.
  </li>
  <li>
   Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.
  </li>
  <li>
   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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Connect To Your Skills And Professional Experience.
   <br/>
   <br/>
  </strong>
 </strong>
 The ideal candidate for this position will possess a range of personal qualifications and skills that will enable them to excel in this role.
 <br/>
 <br/>
 3 - 6 years of relevant experience.
 <br/>
 <br/>
 <ul>
  <li>
   Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
  </li>
  <li>
   Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
  </li>
  <li>
   Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
  </li>
  <li>
   Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
  </li>
  <li>
   Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
  </li>
  <li>
   Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
   <br/>
   <br/>
  </li>
 </ul>
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering and analytics.
 <br/>
 <br/>
 Candidates will have hands on experience with one or more technologies relevant to these areas:
 <br/>
 <br/>
 <ul>
  <li>
   Data Integration (including ETL / ELT).
  </li>
  <li>
   Data Migration.
  </li>
  <li>
   Master Data Management.
  </li>
  <li>
   Business Intelligence and Reporting.
  </li>
  <li>
   Data Warehousing.
  </li>
  <li>
   Data Virtualization.
  </li>
  <li>
   Big Data Engineering.
  </li>
  <li>
   Business and Data Analysis.
  </li>
  <li>
   Data Governance.
  </li>
  <li>
   Data Cataloguing.
  </li>
  <li>
   Data Quality.
   <br/>
   <br/>
  </li>
 </ul>
 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:
 <br/>
 <br/>
 <ul>
  <li>
   Experience of working as a data analyst with ability to translate business requirements into functional and technical data designs.
  </li>
  <li>
   Ability to demonstrate stakeholder management skills and collaborate effectively within multidisciplinary teams.
  </li>
  <li>
   Experience in Agile and/or DevOps for software development &amp; IT operations and knowledge of SDLC.
  </li>
  <li>
   Experience in ETL tools such as Informatica, SSIS, Talend or Pentaho.
  </li>
  <li>
   Knowledge of data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra.
  </li>
  <li>
   Knowledge of one or more databases such as MySQL, SQL Server, Oracle, Snowflake, PostgreSQL, and NoSQL databases.
  </li>
  <li>
   Familiarity with programming languages such as Spark or Python.
  </li>
  <li>
   Familiarity with popular cloud platforms such as Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Connect to your service line - Technology &amp; Transformation
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Connect to your Industry.
  <br/>
  <br/>
 </strong>
 &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
 <br/>
 <br/>
 <strong>
  Personal independence.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <br/>
 <br/>
 <strong>
  Our commitment to you
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Connect to your next step.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
</div>


Deloitte Innovation Hub I Senior Data & Analytics Engineer, Cairo, Egypt

Search 10000+ Data analytics engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 data analytics engineer jobs Near Me

Data Analytics Engineer

Senior Data Analytics Engineer

Data Analytics Engineer

Data Analytics Engineer Intern

Data Analytics Engineer (Public Trust)

Data Analytics Engineer Manager

Deloitte Innovation Hub I Senior Data & Analytics Engineer, Cairo, Egypt