Senior Data Engineer

<p><strong>LoveToKnow Media<br/>Senior Data Engineer</strong></p> <h1><strong>Senior Data Engineer</strong></h1> <p><strong>Reports to:</strong> Director of Analytics &amp; Insights</p> <p>Join a growing portfolio of consumer digital media properties. As Senior Data Engineer, you’ll be responsible for building the infrastructure delivering the capabilities of ingestion, transformation, orchestration, observability and governance. As one of the early data roles at LoveToKnow Media, you'll make an enormous impact on our growing data engineering and analytics efforts.</p> <p> </p> <p><strong>About LoveToKnow Media:</strong></p> <p>LoveToKnow Media’s five distinct brands share a mission to make the world smarter. Unique in their content yet unified in their purpose, LoveToKnow, YourDictionary, WordFinder, GolfLink, and Bibliography.com compel expansive and engaged audiences of consumers who seek specialized subject matters.</p> <p>Spanning 14 time zones, we cultivate exceptional talent from around the world. A global perspective is what fuels our success and ability to be one of the largest and most well-rounded digital media portfolios. As an international community, we work collaboratively across continents and cultures to create informative content that truly makes the world smarter. Our flexible approach emboldens our employees to work in the environments that play to their strengths.</p> <p> </p> <p><strong>Why you want this job:</strong></p> <ul> <li>Room to self-organize your time.</li> <li>Hybrid work environment</li> <li>LoveToKnow Media brings Silicon Valley ways to Barcelona. </li> <li>LoveToKnow Media operates several digital products. Your work and input will be integral to their growth. </li> <li>Your work will be high impact and high visibility.</li> <li>We have a flat organizational structure, and you will work directly with the Product Managers under the Director of Analytics &amp; Insights’ supervision.</li> <li>You will be part of a superb, international senior team of professionals.</li> <li>Offices at a premium location in Barcelona.</li> <li>Private medical insurance covered by the company.</li> <li>We give you the best tools you may need to develop your tasks.</li> <li>Technical training /meetups covered by the company.</li> </ul> <p> </p> <p><strong>Essential Duties &amp; Responsabilities:</strong></p> <ul> <li>Define the strategy for how LoveToKnow Media approaches data engineering, working cross functionally to ensure key stakeholders, business and product requirements are aligned. </li> <li>Build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions.</li> <li>Work collaboratively on projects involving data collection and processing pipelines across the entire stack, from client-side analytics instrumentation to ETL.</li> <li>Stay informed about emerging data technologies and propose your findings to the team to optimize our systems and processes.</li> <li>Work with engineering and analytics leaders to define best-practices, translate company objectives into technical solutions, and document and communicate data collection to stakeholders.</li> </ul> <p> </p> <p><strong>What you will need to be sucessfull:</strong></p> <ul> <li>Fluent English communication skills - written and oral are a must.</li> <li>7+ years experience in a data/analytics engineering role, including experience working in all phases of full life cycle data analytics development (requirements, architecture, design, testing, deployment, optimization, and monitoring).</li> <li>Experience building high volume data pipelines for downstream analysis, and triaging and debugging production data issues.</li> <li>Proficient in data engineering technologies and tools such as SQL &amp; Python, ETL frameworks and tools (e.g., Apache Spark, Airflow, dbt), cloud platforms (e.g.,GCP, AWS), and cloud data-warehousing (e.g., BigQuery, Snowflake).</li> <li>Experience with data visualization and analysis tools (Tableau, Data Studio, Looker, etc).</li> <li>Experience with digital media brands, and/or commerce and affiliate marketing datasets is a plus</li> </ul>