HQ BARCELONA - Senior Data Engineer

{
  "content_hash": "605e59eabd6a9a77d86ba59bc45c8e183598c2b098b9e1eaf568d2abce647e60",
  "source_hash": "2e9f5abd5a473940a7de63c60956f6718630b7e3f26970604ba27bc4106dadf5",
  "last_changed_at": "2026-05-30T05:48:47.200Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Barcelona, Barcelona, 08003, Spain",
    "city": "Barcelona",
    "region": "Barcelona",
    "country": null,
    "is_remote": true,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T10:17:30.143Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Barcelona, Barcelona, 08003, Spain",
      "city": "Barcelona",
      "region": "Barcelona",
      "country": null,
      "is_remote": true,
      "confidence": 0.8
    },
    "countries": []
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "list_job": {
    "id": "106",
    "isRemote": null,
    "location": {
      "city": "Barcelona",
      "state": "Barcelona"
    },
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "province": null
    },
    "departmentId": "18454",
    "locationType": "0",
    "jobOpeningName": "HQ BARCELONA -  Senior Data Engineer",
    "departmentLabel": "Product, Data & IT",
    "employmentStatusLabel": "Full-Time (40h)"
  },
  "detail_errors": [],
  "detail_job_opening": {
    "location": {
      "city": "Barcelona",
      "state": "Barcelona",
      "postalCode": "08003",
      "addressCountry": "Spain"
    },
    "datePosted": "2020-01-14",
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "countryId": null
    },
    "description": "<p><span style=\"color: #000080; font-size: 12px; font-family: verdana, geneva;\"><strong>Jobandtalent</strong></span></p>\r\n<p><br></p>\r\n<ul>\r\n<li><span style=\"font-size: 12px; font-family: verdana, geneva;\"><span style=\"color: #000080;\"><strong>Who we are</strong></span>: We are a <strong>workforce on-demand company</strong> that heavily <strong>relies on tech</strong>. We integrate the complete process of selecting, hiring and managing employees, being the first in digitizing all the steps, introducing <strong>Artificial Intelligence solutions</strong> in multiple phases, obtaining faster and higher-quality service for our clients and great satisfaction and loyalty for our workers.</span></li>\r\n<li><span style=\"font-size: 12px; font-family: verdana, geneva;\"><span style=\"color: #000080;\"><strong>Our Impact on Society</strong></span>: Our vision is to create a <strong>long-term job security condition for our workers</strong> while providing <strong>flexible solutions to our clients</strong>. We can do this by concatenating different short-term contracts and minimizing–or completely removing–their unemployed time. We want to remove the need for finding a job ever again. </span></li>\r\n<li><span style=\"font-size: 12px; font-family: verdana, geneva;\"><span style=\"color: #000080;\"><strong>Data-Driven</strong></span>: Being the owner of the entire hiring funnel, workforce management, and working experience, give us very <strong>unique data</strong> that we transform in powerful knowledge to <strong>make better decisions</strong>, improve job-candidate matches, <strong>estimate quality</strong> and affinity, and <strong>share performance</strong> feedback with our workers and clients. We are the most advanced workforce on-demand company thanks to our data and the way we use it.</span></li>\r\n<li><span style=\"font-size: 12px; font-family: verdana, geneva;\"><span style=\"color: #000080;\"><strong>Great Challenges for the Data Team</strong></span>: Integrating very <strong>different AI solutions</strong> to improve the experience for both our workers and employers (Shift Optimization, Machine Learning algorithms, Quality Score Estimations, Document recognition, etc.), relying on a very <strong>powerful ETL</strong> that permits <strong>endless automatizations</strong> while keeping the focus on <strong>data quality</strong>.</span></li>\r\n<li><span style=\"font-size: 12px; font-family: verdana, geneva;\"><span style=\"color: #000080;\"><strong>Growth Overview</strong></span>: An annual growth of <strong>170%</strong>, available in multiple countries: the UK, Spain, Germany, Sweden, Mexico, Colombia, France, and more are coming. HQ in Madrid with a second big presence in Barcelona and some remote workers in the UK, The Netherlands, and the USA. And finally, some of our great clients are <strong>Amazon</strong>, XPOLogistics, <strong>Cabify</strong>, Santander, <strong>Just Eat</strong>, etc. </span></li>\r\n</ul>\r\n<p><br></p>\r\n<p><span style=\"color: #222222; font-size: 13px;\">You will be the </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">main referent</span></span><span style=\"color: #222222; font-size: 13px;\"> of our </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">data architecture</span></span><span style=\"color: #222222; font-size: 13px;\">, leading the design and implementation decisions of our </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">data pipelines</span></span><span style=\"color: #222222; font-size: 13px;\">. </span></p>\r\n<p><br></p>\r\n<p><span style=\"color: #222222; font-size: 13px;\">The </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Data Team</span></span><span style=\"color: #222222; font-size: 13px;\"> is very independent of the rest of the Tech and Product teams. We build and manage our services that run our AI models as well as our data storages to quickly process the data we need, and let the Data Scientist performing the “Time Travel” to properly train our algorithms. A quick insight about our architecture and tools:</span></p>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">We are building our new data lake and data warehouse directly in </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">AWS S3</span></span><span style=\"color: #222222; font-size: 13px;\">, synchronizing the data via </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">DMS</span></span><span style=\"color: #222222; font-size: 13px;\">, and consolidate it via </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Hudi</span></span><span style=\"color: #222222; font-size: 13px;\">. This data will be accessible by </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">multiple Redshift clusters</span></span><span style=\"color: #222222; font-size: 13px;\"> via </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Spectrum</span></span><span style=\"color: #222222; font-size: 13px;\"> that allows us to quickly scale up across all the countries. In addition, as data is stored in S3 this could be exploited via </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Athena</span></span><span style=\"color: #222222; font-size: 13px;\"> or an ad-hoc </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Spark job</span></span><span style=\"color: #222222; font-size: 13px;\">. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">We have multiple queue systems from which we consume data coming from the Jobandtalent </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Message brokers</span></span><span style=\"color: #222222; font-size: 13px;\"> while filling up our data storage. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">We use </span><a href=\"https://airflow.apache.org/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: bold;\"><span style=\"font-size: 13px;\">Airflow</span></span></a><span style=\"color: #222222; font-size: 13px;\"> as our ETL which allows us to break down any complex problem/process into smaller ones. Each component can be implemented directly in </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Python</span></span><span style=\"color: #222222; font-size: 13px;\">, or any other language since we could execute any docker container in </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">AWS Fargate</span></span><span style=\"color: #222222; font-size: 13px;\">. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">We are integrating different 3rd party data (Kustomer, Salesforce, </span><em><span style=\"color: #222222; font-size: 13px;\">etc.</span></em><span style=\"color: #222222; font-size: 13px;\">). We keep iterating in the best way to incorporate this data into our Datalake which allows our users to exploit this data.</span></li>\r\n</ul>\r\n<p><br></p>\r\n<p><span style=\"color: #222222; font-size: 13px;\">You need to have proven experience in these areas, being eager to learn and improve, while enjoying taking responsibility. You need to be very hands-on, able to explore different solutions to our problems and needs.  </span></p>\r\n<p><br></p>\r\n<p><span style=\"color: #0772b3; font-size: 18px;\">Requirements and Skills</span></p>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Technical degree preferably in Engineering or Quantitative field.</span></li>\r\n</ul>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Experience managing ETL or similar Data Workflows </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Experience in </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">leading data architecture decisions</span></span><span style=\"color: #222222; font-size: 13px;\"> and similar responsibilities.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Previous practical experience with Big Data technologies knowledge, batch and real-time (Hadoop, Spark, Hudi, Spark Streaming, Flink, </span><em><span style=\"color: #222222; font-size: 13px;\">etc.</span></em><span style=\"color: #222222; font-size: 13px;\">).</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Extensive experience with </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">production-ready code</span></span><span style=\"color: #222222; font-size: 13px;\"> (not scripting code).</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Extremely skilled programmer (</span><em><span style=\"color: #222222; font-size: 13px;\">e.g.</span></em><span style=\"color: #222222; font-size: 13px;\">, </span><em><span style=\"color: #222222; font-size: 13px;\">unittest</span></em><span style=\"color: #222222; font-size: 13px;\">, production/staging experience). </span></li>\r\n<li><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Python</span></span><span style=\"color: #222222; font-size: 13px;\"> proficiency, and </span><em><span style=\"color: #222222; font-size: 13px;\">ideally</span></em><span style=\"color: #222222; font-size: 13px;\"> experience with other programming languages such as </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Java</span></span><span style=\"color: #222222; font-size: 13px;\">, </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Scala</span></span><span style=\"color: #222222; font-size: 13px;\">.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Strong knowledge of different </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">data storages</span></span><span style=\"color: #222222; font-size: 13px;\"> (knows pros and cons, understand and investigate the best solution for each use-case).</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Strong knowledge of different </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">storage formats</span></span><span style=\"color: #222222; font-size: 13px;\"> (JSON, Parquet, Avro, etc.), understand and investigate the best solution for each use-case.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Streaming data queue platforms knowledge (Kinesis, Kafka, RabbitMQ, etc.).</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Excellent verbal and written communication skills; ability to communicate effectively with different levels of management, as well as the business and technical communities.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">A </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">valid work permit</span></span><span style=\"color: #222222; font-size: 13px;\"> to be employed in Spain.</span></li>\r\n<li><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Fluent in English</span></span><span style=\"color: #222222; font-size: 13px;\"> is a must.</span></li>\r\n</ul>\r\n<p><span style=\"color: #222222; font-size: 13px;\"> </span></p>\r\n<p><span style=\"color: #222222; font-size: 13px;\">Besides, we are looking for a senior profile that will be </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">interested in</span></span><span style=\"color: #222222; font-size: 13px;\">:</span></p>\r\n<ul>\r\n<li><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Sharing</span></span> <span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">knowledge</span></span><span style=\"color: #222222; font-size: 13px;\"> inside and outside Jobandtalent writing blog posts and/or giving talks, raising the quality standards of the entire team to grow together.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Contributing to </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Open Source projects</span></span><span style=\"color: #222222; font-size: 13px;\">: we are using different Open Source frameworks and libraries, and one of our wishes would be to contribute to some of those projects, dedicating part of our time when possible. </span></li>\r\n</ul>\r\n<p><br></p>\r\n<p><span style=\"color: #0772b3; font-size: 18px;\">Offer in Short</span></p>\r\n<ul>\r\n<li><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Great ownership</span></span><span style=\"color: #222222; font-size: 13px;\"> of the projects with a </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">direct impact</span></span><span style=\"color: #222222; font-size: 13px;\"> on the product.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Salary in the </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">55-70k</span></span><span style=\"color: #222222; font-size: 13px;\"> range (wide range, depending on experience).</span><br></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">A</span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\"> yearly budget</span></span><span style=\"color: #222222; font-size: 13px;\"> for Conferences/meetup/self-learning.</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Working in an </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">international</span></span><span style=\"color: #222222; font-size: 13px;\"> and </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">multidisciplinary team</span></span><span style=\"color: #222222; font-size: 13px;\"> </span></li>\r\n<li><span style=\"font-size: 13px;\">A complete benefits program that includes flexible remuneration through expenses for restaurants, transport, childcare, and <span style=\"font-weight: bold;\">health insurance</span>.</span></li>\r\n<li><span style=\"font-size: 13px;\">Possibility of <span style=\"font-weight: bold;\">working remotely</span></span><span style=\"font-size: 13px;\"></span></li>\r\n</ul>\r\n<p><br></p>\r\n<p>You will be working in the <span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Data Science team</span></span><span style=\"color: #222222; font-size: 13px;\"> (read the </span><a href=\"https://jobandtalent.engineering/tagged/data-science\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-size: 13px;\">last blog posts</span></a><span style=\"color: #222222; font-size: 13px;\">), together with Full-stack Engineers, Data Scientists, and Data Analysts. </span></p>\r\n<p><br></p>\r\n<p><span style=\"color: #222222; font-size: 13px;\"><span style=\"color: #0772b3; font-size: 18px;\">Q&amp;A</span></span></p>\r\n<p><span style=\"color: #222222; font-size: 13px;\">How the </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Jobandtalent Engineering team</span></span><span style=\"color: #222222; font-size: 13px;\"> is structured?</span></p>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">What we call “Product Team” includes the Product &amp; Design, Tech, and Data. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Product &amp; Design ⇒ all the Product Owners and Designers that belong to the different Product Features teams (cross-functional teams that take care of some specific parts of the product). </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Tech ⇒ includes all the main engineering profiles and guilds, such as Backend, Frontend, Android, iOS, and Platform. The majority of them are embedded into the Product Features teams to create our extremely independent and cross-functional teams. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">Data ⇒ includes three different teams, namely Data Analytics, Data Science, and Data Engineering. </span></li>\r\n</ul>\r\n<p><span style=\"color: #222222; font-size: 13px;\">How the </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">Jobandtalent Data team</span></span><span style=\"color: #222222; font-size: 13px;\"> is organized?</span></p>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">The Data team includes three different teams that work very closely together. </span>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">The Data Engineering one owns the data pipelines and processes that generate the data needed by our Data Warehouse, and thus by the entire Jobandtalent. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">The Data Science team, which owns all the models used by the Product teams</span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">The Data Analytics team is composed of two types of profiles: (i) Product Data Analysts, which work embedded in the Product Team following a Hub’n’Spoke approach, and (ii) Data Partners, which are working closely with other departments such as Finance, Sales, Marketing, etc. </span></li>\r\n</ul>\r\n</li>\r\n</ul>\r\n<p><span style=\"color: #222222; font-size: 13px;\">How do we organize the </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">tasks</span></span><span style=\"color: #222222; font-size: 13px;\"> and the </span><span style=\"font-weight: bold;\"><span style=\"color: #222222; font-size: 13px;\">planning</span></span><span style=\"color: #222222; font-size: 13px;\">?</span></p>\r\n<ul>\r\n<li><span style=\"color: #222222; font-size: 13px;\">We are very data-driven, we have clear KPIs for each project, team, and goal. </span></li>\r\n<li><span style=\"color: #222222; font-size: 13px;\">We define strong OKRs for every quarter, we work with bi-weekly Sprint (each team has its own JIRA Project), and a Data PM is leading the delivery processes and metrics. </span></li>\r\n</ul>",
    "compensation": "55-70k",
    "departmentId": "18454",
    "locationType": "0",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "HQ BARCELONA -  Senior Data Engineer",
    "departmentLabel": "Product, Data & IT",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Experienced",
    "jobOpeningShareUrl": "https://jobandtalent.bamboohr.com/careers/106",
    "employmentStatusLabel": "Full-Time (40h)"
  }
}