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Senior Data Analytics Engineer (m/f/d)

Adsquare · Berlin · Hybrid · Active · Personio

Job facts

FieldValue
CompanyAdsquare
TitleSenior Data Analytics Engineer (m/f/d)
Normalized title-
Department / teamData / Data
LocationBerlin
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2025-04-08 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Adsquare.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAdsquare
Source84f37c7e-34d8-4337-a5cf-bbe347641014
ATS providerPersonio

Description

Intro At Adsquare, our mission is driven by our core focus: Passion – Solving complex challenges with great people, tech, and data. Niche – Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do: Drive: We turn ambition into action. Resilience: We adapt, persevere, and grow stronger. No BS: We value honesty, transparency, and clear communication. Humble: We choose modesty over vanity and let results speak for themselves. Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work. Your Mission Key Responsibilities End-to-End Pipeline Engineering: Design and deploy robust transformation pipelines for high-volume data (TB scale). You are responsible for the full lifecycle: ingestion, transformation, testing (unit/integration) , deployment, and monitoring. Architecture & Optimization: Take ownership of data modeling and architectural decisions. You will actively refactor legacy code to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs). Software Engineering Best Practices: Elevate the team's technical standards by implementing CI/CD workflows, containerization (Docker), and rigorous automated testing. You ensure that "it works on my machine" is never an excuse. Data Quality & Observability: Instead of just building business dashboards, you build infrastructure monitoring . You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders. Technical Leadership: Mentor junior engineers through code reviews and technical planning. You will be the voice of engineering rigor within the squad. Your Profile We are looking for a Senior Data Analytics Engineer who approaches data with a software engineering mindset. You will join our Data Solutions squad to architect, build, and maintain production-grade data platforms. This is not a Data Analyst role. While you will understand the business context, your primary focus is technical: designing scalable architectures, writing clean and testable Python/SQL code, automating deployments, and optimizing cloud infrastructure. You will act as a technical standard-bearer, ensuring our pipelines are reliable, cost-effective, and maintainable. We are looking for a candidate who has strong analytics engineering experience or has a strong background in backend development focused on data. Must-Have Skills 6+ years of experience specifically in Analytics Engineering or Data Engineering. Advanced Python proficiency beyond scripting: You write modular, object-oriented, and production-ready code. You use relevant libraries and framework for testing, and understand exception handling and logging. Deep expertise in SQL & dbt: You don't just write queries; you build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans to optimize performance. Software Engineering Fundamentals: Proven experience with Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI) , and Containerization (Docker) . You understand how to deploy code reliably. AWS Cloud Native Experience: Hands-on experience building serverless architectures using AWS Lambda, StepFunctions, Glue, and Athena . Testing Mindset: You can demonstrate experience implementing Unit Tests and Integration Tests for data pipelines. You do not rely on manual checks or stakeholder validation for quality assurance. Data Warehouse Ops: Deep understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning, clustering, and cost governance. Nice-to-Have Skills Experience with Infrastructure as Code (Terraform) to manage cloud resources. Experience with orchestration tools like Airflow, Dagster, or Prefect . Knowledge of big data processing frameworks (Spark/PySpark). Familiarity with dashboarding tools (Streamlit, Preset, Tableau e.t.c) – Note: This is helpful for debugging and monitoring, but not the core function of the role. B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields. Why us? On top of a competitive package… We are open to   flexible work models :  we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year To encourage education and professional growth, we offer an individual yearly budget of 1.200€ You are entitled to 30 vacation days per year We offer Urban Sports Club membership, company pension scheme Regular team events and company events organised by our People team (Trust us, they know how to throw a party!) We equip you with the latest hardware and provide you with all the tools you need to thrive Recruiting Process could require on site steps Step 1: Short 30-min take-home technical quiz. Step 2: Value-based interview (30 mins). Step 3: Deep-dive technical interview (1.5 hours) with the Data team. Step 4: Practical data-crunching challenge. Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other. Work model Hybrid

Full job record

Job ID418c6952e7b6f734e370e58ddb58d91e1a95a5d7
Org ID06b5777b-bc51-4596-b1d1-ed7896371765
Source ID84f37c7e-34d8-4337-a5cf-bbe347641014
Board ID84f37c7e-34d8-4337-a5cf-bbe347641014
Providerpersonio
Provider Job Key2049611
TitleSenior Data Analytics Engineer (m/f/d)
Normalized Title
Statusactive
Activeyes
Location TextBerlin
DepartmentData
TeamData
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryBerlin
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://adsquare.jobs.personio.de/job/2049611?language=en
Apply URLhttps://adsquare.jobs.personio.de/job/2049611?language=en
First Seen At2026-05-30 05:57:28Z
Last Seen At2026-06-06 07:58:24Z
Last Checked At2026-06-06 07:58:24Z
Last Changed At2026-05-30 05:57:28Z
Inactive At
Source Posted At2025-04-08 09:25:33Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=adsquare.de/date=2026-06-06/2026-06-06T07-58-23-740Z-95fb2dcbaf5768746172311544b5e31a467647b24c739f40f82b0052199537a7.json
Event Fields
{
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  "source_hash": "b478555c14f00e88342b02e29d8c6fd2ea668e181dddb8a401ab681451e27024",
  "last_changed_at": "2026-05-30T05:57:28.787Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Berlin",
    "city": null,
    "region": null,
    "country": "Berlin",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:58:24.552Z",
  "launch_scope": {
    "reason": "personio_production_catalog",
    "included": true,
    "location": {
      "raw": "Berlin",
      "city": null,
      "region": null,
      "country": "Berlin",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "Berlin"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "id": "2049611",
  "name": "Senior Data Analytics Engineer (m/f/d)",
  "office": "Berlin",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2025-04-08T09:25:33+00:00",
  "seniority": "experienced",
  "department": "Data",
  "occupation": "other",
  "subcompany": "adsquare GmbH",
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "Intro",
      "value": "<p>At Adsquare, our mission is driven by our core focus:<br><strong>Passion</strong> – Solving complex challenges with great people, tech, and data.<br><strong>Niche</strong> – Location Intelligence for Programmatic Advertisers.</p><p>Our core values are integral to everything we do:</p><ul><li><p><strong>Drive:</strong> We turn ambition into action.</p></li><li><p><strong>Resilience:</strong> We adapt, persevere, and grow stronger.</p></li><li><p><strong>No BS:</strong> We value honesty, transparency, and clear communication.</p></li><li><p><strong>Humble:</strong> We choose modesty over vanity and let results speak for themselves.</p></li><li><p><strong>Moral Compass:</strong> We do the right thing with fairness, integrity, and respect.</p></li></ul><p>We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.</p>"
    },
    {
      "name": "Your Mission",
      "value": "<div style=\"margin:1.31249em 0px 0px;padding:0px;display:block;color:rgb(41,42,46);font-family:'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;font-size:16px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><h3 style=\"margin:1.31249em 0px 0px;padding:0px;color:rgb(41,42,46);font:600 1.142em/1.5 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;text-transform:none;display:inline;\">Key Responsibilities</h3></div><ul style=\"margin:10px 0px 0px;padding:0px 0px 0px 24px;list-style-type:disc;color:rgb(41,42,46);font-family:'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;font-size:16px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><li><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>End-to-End Pipeline Engineering:</strong> Design and deploy robust transformation pipelines for high-volume data (TB scale). You are responsible for the full lifecycle: ingestion, transformation, <strong>testing (unit/integration)</strong>, deployment, and monitoring.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Architecture & Optimization:</strong> Take ownership of data modeling and architectural decisions. You will actively refactor legacy code to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs).</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Software Engineering Best Practices:</strong> Elevate the team's technical standards by implementing CI/CD workflows, containerization (Docker), and rigorous automated testing. You ensure that \"it works on my machine\" is never an excuse.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Data Quality & Observability:</strong> Instead of just building business dashboards, you build <em>infrastructure monitoring</em>. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Technical Leadership:</strong> Mentor junior engineers through code reviews and technical planning. You will be the voice of engineering rigor within the squad.</p></li></ul>"
    },
    {
      "name": "Your Profile",
      "value": "<p style=\"margin:0.75em 0px 0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;color:rgb(41,42,46);text-transform:none;background-color:rgb(255,255,255);\">We are looking for a <strong>Senior Data Analytics Engineer</strong> who approaches data with a software engineering mindset. You will join our Data Solutions squad to architect, build, and maintain production-grade data platforms.</p><p style=\"margin:0.75em 0px 0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;color:rgb(41,42,46);text-transform:none;background-color:rgb(255,255,255);\"><strong>This is not a Data Analyst role.</strong> While you will understand the business context, your primary focus is technical: designing scalable architectures, writing clean and testable Python/SQL code, automating deployments, and optimizing cloud infrastructure. You will act as a technical standard-bearer, ensuring our pipelines are reliable, cost-effective, and maintainable.</p><br><p style=\"margin:0.75em 0px 0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;color:rgb(41,42,46);text-transform:none;background-color:rgb(255,255,255);\">We are looking for a candidate who has strong analytics engineering experience or has a strong background in backend development focused on data.</p><div style=\"margin:1.25em 0px 0px;padding:0px;display:block;color:rgb(41,42,46);font-family:'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;font-size:16px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><h4 style=\"margin:1.25em 0px 0px;padding:0px;color:rgb(41,42,46);font:600 1em/1.428 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;text-transform:none;display:inline;\"><strong>Must-Have Skills</strong></h4></div><ul style=\"margin:10px 0px 0px;padding:0px 0px 0px 24px;list-style-type:disc;color:rgb(41,42,46);font-family:'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;font-size:16px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><li><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>6+ years of experience specifically in Analytics Engineering or Data Engineering.</strong></p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Advanced Python proficiency beyond scripting:</strong> You write modular, object-oriented, and production-ready code. You use relevant libraries and framework for testing, and understand exception handling and logging.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Deep expertise in SQL & dbt:</strong> You don't just write queries; you build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans to optimize performance.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Software Engineering Fundamentals:</strong> Proven experience with <strong>Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI)</strong>, and <strong>Containerization (Docker)</strong>. You understand how to deploy code reliably.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>AWS Cloud Native Experience:</strong> Hands-on experience building serverless architectures using <strong>AWS Lambda, StepFunctions, Glue, and Athena</strong>.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Testing Mindset:</strong> You can demonstrate experience implementing <strong>Unit Tests and Integration Tests</strong> for data pipelines. You do not rely on manual checks or stakeholder validation for quality assurance.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\"><strong>Data Warehouse Ops:</strong> Deep understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning, clustering, and cost governance.</p></li></ul><div style=\"margin:1.25em 0px 0px;padding:0px;display:block;color:rgb(41,42,46);font-family:'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;font-size:16px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><h4 style=\"margin:1.25em 0px 0px;padding:0px;color:rgb(41,42,46);font:600 1em/1.428 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;text-transform:none;display:inline;\"><strong>Nice-to-Have Skills</strong></h4></div><ul style=\"margin:10px 0px 0px;padding:0px 0px 0px 24px;list-style-type:disc;color:rgb(41,42,46);font-family:'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;font-size:16px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);\"><li><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\">Experience with <strong>Infrastructure as Code (Terraform)</strong> to manage cloud resources.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\">Experience with orchestration tools like <strong>Airflow, Dagster, or Prefect</strong>.</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\">Knowledge of big data processing frameworks (Spark/PySpark).</p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\">Familiarity with dashboarding tools (Streamlit, Preset, Tableau e.t.c) – <em>Note: This is helpful for debugging and monitoring, but not the core function of the role.</em></p></li><li style=\"margin-top:4px;\"><p style=\"margin:0px;padding:0px;font:400 16px/1.714 'Atlassian Sans', 'ui-sans-serif', '-apple-system', 'system-ui', 'Segoe UI', Ubuntu, 'Helvetica Neue', sans-serif;\">B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields.</p></li></ul><br>"
    },
    {
      "name": "Why us?",
      "value": "On top of a competitive package…<br><br><ul><li>We are open to<strong> </strong>flexible work models<strong>: </strong>we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year</li><li>To encourage education and professional growth, we offer an individual yearly budget of 1.200€</li><li>You are entitled to 30 vacation days per year</li><li>We offer Urban Sports Club membership, company pension scheme</li><li>Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)</li><li>We equip you with the latest hardware and provide you with all the tools you need to thrive</li></ul>"
    },
    {
      "name": "Recruiting Process",
      "value": "<h6 style=\"border:0px solid;margin:0px 0px 12px;line-height:19.6px;font-weight:700;text-decoration:none;font-size:14px;font-family:'FT Regola Neue', Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', sans-serif;font-style:normal;text-align:left;text-transform:none;background-color:rgb(255,255,255);\"><em style=\"border:0px solid;margin:0px;\">could require on site steps</em></h6><p style=\"border:0px solid;margin:0px;line-height:1.3em;font-size:14px;font-style:normal;font-weight:400;text-align:left;text-transform:none;background-color:rgb(255,255,255);font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';\"><br style=\"border:0px solid;margin:0px;\"></p><ul style=\"border:0px solid;font-family:Arial, Helvetica, sans-serif;font-size:14px;font-style:normal;font-weight:400;text-align:left;text-transform:none;\"><li style=\"border:0px solid;margin:0px;\"><p style=\"border:0px solid;margin:0px;line-height:1.3em;\"><strong style=\"border:0px solid;margin:0px;font-weight:600;\">Step 1:</strong> Short 30-min take-home technical quiz.</p></li><li style=\"border:0px solid;margin:0px;\"><p style=\"border:0px solid;margin:0px;line-height:1.3em;\"><strong style=\"border:0px solid;margin:0px;font-weight:600;\">Step 2:</strong> Value-based interview (30 mins).</p></li><li style=\"border:0px solid;margin:0px;\"><p style=\"border:0px solid;margin:0px;line-height:1.3em;\"><strong style=\"border:0px solid;margin:0px;font-weight:600;\">Step 3:</strong> Deep-dive technical interview (1.5 hours) with the Data team.</p></li><li style=\"border:0px solid;margin:0px;\"><p style=\"border:0px solid;margin:0px;line-height:1.3em;\"><strong style=\"border:0px solid;margin:0px;font-weight:600;\">Step 4:</strong> Practical data-crunching challenge.</p></li><li style=\"border:0px solid;margin:0px;\"><p style=\"border:0px solid;margin:0px;line-height:1.3em;\"><strong style=\"border:0px solid;margin:0px;font-weight:600;\">Step 5:</strong> Team Meet & Greet — the final step to ensure we’re a great fit for each other.</p></li></ul>"
    },
    {
      "name": "Work model",
      "value": "Hybrid"
    }
  ],
  "occupationCategory": "other",
  "recruitingCategory": "Data"
}
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