Data Engineering Manager
full-time•Lisbon, Porto
About this role
<p><span>At </span><a target="_blank" href="http://Bloq.it"><span>Bloq.it</span></a><span>, we’ve created the world’s leading smart locker solution. We’re solving online deliveries by enabling everyone to participate easily, reducing delivery costs, and making them more sustainable.</span></p><p><span>We’re quickly expanding, and after growing 1000% for three years in a row, we’re now the fastest-growing Smart Locker company in the world and one of the fastest-growing scale-ups in Europe.</span></p><p><span>We are searching for a <strong>Data Engineering Manager</strong>, to join our innovative team as a new #bloqstar. This person will lead our Data Engineering efforts, helping shape the data platform that powers product decisions, operational excellence, and business insights across the company. You will play a key role in building a strong data culture, ensuring data quality, scalability, and accessibility as </span><a target="_blank" href="http://Bloq.it"><span>Bloq.it</span></a><span> continues to grow.</span></p><p></p><p><strong>What you’ll be doing: </strong></p><ul><li><p><span>Lead, mentor, and develop a team of Data Engineers, fostering a culture of ownership, quality, and continuous improvement.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Own the delivery and evolution of </span><a target="_blank" href="http://Bloq.it"><span>Bloq.it</span></a><span>’s data platform, including data ingestion, transformation, and serving layers.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Partner closely with Product, Operations, Finance, and Engineering teams to understand data needs and translate them into scalable solutions.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Define and promote best practices for data modeling, data quality, testing, documentation, and governance.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Ensure reliability, performance, and scalability of data pipelines and analytics infrastructure.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Drive prioritization and roadmap planning for the data team in alignment with business and technical goals.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Establish KPIs and SLAs for data availability and accuracy.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Promote a data-driven culture by enabling self-service analytics and trustworthy insights across the organization.</span></p></li></ul><div><p><br></p></div><p><strong>What you’ll bring to the table: </strong></p><ul><li><p><span>Proven experience (5+ years) in data engineering or software engineering, with <strong>2+ years in a leadership or management role.</strong></span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Strong experience designing and maintaining data pipelines (batch and/or streaming).</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Solid knowledge of SQL and data modeling concepts (e.g., star/snowflake schemas).</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Hands-on experience with modern data stacks and tools (e.g., cloud data warehouses like BigQuery, Snowflake, Redshift; orchestration tools such as Airflow or similar).</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Experience with cloud platforms (AWS, GCP, or Azure).</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Proficiency in programming languages commonly used in data engineering, such as Python.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Strong problem-solving skills and a data-driven mindset, with the ability to balance short-term delivery and long-term architectur</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;">e.</span><strong><br></strong></p></li></ul><p><strong>It would be great if you would also have:<br></strong></p><ul><li><p><span>Experience working with products that combine hardware and software.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Experience in fast-growing scale-ups, especially during rapid growth phases.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Previous experience building or scaling a data platform or data team from scratch.</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Familiarity with analytics engineering and BI tools (e.g., dbt, Looker, Power BI, Tableau).</span><span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><br><br></span></p></li><li><p><span>Strong communication skills and the ability to influence technical and non-technical stakeholders.</span><strong><br></strong></p></li></ul><p><strong>Why join us?</strong><br></p><ul><li><p>The opportunity to join our <strong>Data</strong> team and play a pivotal role in shaping the <span style="font-size:10pt;font-family:Roboto, sans-serif;color:rgb(0, 0, 0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;"><strong>structure of the data platform </strong></span>while contributing to innovative solutions that redefine Bloq.it's revolution in the smart locker industry ;</p></li><li><p>A dynamic and fast-paced work environment with a culture of innovation, collaboration, and continuous learning ;</p></li><li><p>Competitive salary and flexible benefits package, tailored to your experience and skills ;</p></li><li><p>Eligibility for performance-based bonus, tied to your results and designed to reward your impact ;</p></li><li><p>Work how you work best - we offer a remote-friendly policy and flexible hours so you can stay productive and keep life balanced ;</p></li><li><p>Portuguese Health Insurance including mental health ;</p></li><li><p>Flexible Sports and Wellness membership covering multiple gyms and studios</p></li><li><p>Unlimited days off (subject to manager approval).</p></li></ul><p>Ready to join the revolution?<br></p>
What you'll do
- Lead and develop a team of Data Engineers while owning the delivery and evolution of the data platform. Collaborate with various teams to understand data needs and ensure data quality and scalability.
About Bloq.it
Bloq.it is providing the worlds leading Smart Locker Solutions. Solving last-mile and enabling everyone to participate in e-commerce. Since our inception, we have emerged as the leading product in our segment, and have become the fastest-growing Smart Locker company in the world. Our Products are live in all the main EU markets, and are used by millions of end costumers, in partnership with industry leaders such as Vinted, DHL, GLS and InPost.
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Frequently Asked Questions
What does a Data Engineering Manager do at Bloq.it?
As a Data Engineering Manager at Bloq.it, you will: lead and develop a team of Data Engineers while owning the delivery and evolution of the data platform. Collaborate with various teams to understand data needs and ensure data quality and scalability..
Is the Data Engineering Manager position at Bloq.it remote?
The Data Engineering Manager position at Bloq.it is based in Lisbon, Portugal and Porto, Portugal. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data Engineering Manager position at Bloq.it?
You can apply for the Data Engineering Manager position at Bloq.itdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.