Senior Data Engineer – Remote
Emploi Philippine
Senior Data Engineer – Remote chez Sleek
Entreprise : Sleek, une entreprise innovante spécialisée dans l’automatisation des processus de back-office pour les micro PME à l’échelle mondiale.
Description de l’entreprise
Sleek utilise des logiciels propriétaires et des outils d’intelligence artificielle pour simplifier la gestion des tâches administratives. Depuis sa création en 2017, l’entreprise a connu une croissance rapide, atteignant plus de 15 000 clients dans des pays comme Singapour, Hong Kong, l’Australie et le Royaume-Uni. Sleek se positionne dans trois segments principaux :
- Secrétariat Corporatif : Automatisation de l’incorporation d’entreprises grâce à des robots en ligne.
- Comptabilité et Tenue de Livres : Redéfinition des services comptables grâce à des outils innovants.
- Services FinTech : Solutions bancaires numériques pour les nouvelles entreprises.
Avec une croissance annuelle de plus de 70 % au cours des cinq dernières années, Sleek a été reconnue comme l’une des entreprises à la croissance la plus rapide en Asie.
Description du poste
Rôle : En tant que Senior Data Engineer, vous serez un membre clé de l’équipe dédiée aux données. Vous aurez pour mission de concevoir, de construire et de maintenir des infrastructures et des pipelines de données évolutifs pour favoriser la prise de décisions éclairées au sein de l’organisation.
Objectifs et responsabilités
- Collaboration : Travailler avec des équipes transversales pour transformer la vision de l’entreprise en solutions datées impactantes.
- Architecture des Données : Assurer l’alignement des besoins en architecture de données avec les objectifs stratégiques.
- Optimisation des Performances : Garantir une précision des données de 99 % pour tous les tableaux de bord critiques.
Résultats attendus
- Création de tableaux de bord stratégiques basés sur les besoins de l’entreprise, robustes et évolutifs.
- Réduction des coûts de stockage et des pipelines de données de 30 %.
- Obtention d’un score eNPS de 50 pour les services de données auprès des parties prenantes.
Exigences
Compétences techniques :
- Une expérience de plus de 5 ans en ingénierie des données ou dans un domaine connexe.
- Expertise en bases de données relationnelles (PostgreSQL, MySQL) et NoSQL.
- Connaissance des infrastructures cloud (AWS, GCP) et des services associés.
Compétences interpersonnelles :
- Excellentes capacités de résolution de problèmes et attention aux détails.
- Compétences en communication forte, essentielles pour collaborer avec diverses équipes.
Processus de recrutement
Le processus de candidature inclura plusieurs étapes :
- Étude de cas avec un Data Analyst pour analyser votre approche face à des défis réels.
- Entretien avec le responsable des recrutements pour explorer en détail votre parcours professionnel.
- Évaluation de votre adéquation comportementale avec un membre de l’équipe RH.
Engagement envers la diversité et l’inclusion
Sleek s’efforce de créer un environnement de travail diversifié et inclusif, poussant l’humilité et la gentillesse au cœur de sa culture d’entreprise. L’entreprise est fière d’être certifiée B Corp, démontrant son engagement envers des pratiques commerciales éthiques et durables.
Avantages
- Flexibilité : Options de travail à distance et horaires flexibles selon vos besoins.
- Bénéfices financiers : Salaires compétitifs et régime de partage des employés.
- Opportunités de croissance personnelle : Formation continue et prise de responsabilités dans un environnement dynamique.
Salaire attendu : À discuter.
Localisation : Philippines.
Date de publication : 17 mai 2025.
Cette présentation a été rédigée en respectant les valeurs d’inclusivité, d’information éthique et de rigueur méthodologique.
📅 Date de publication de l’offre : Sat, 17 May 2025 22:40:47 GMT
🏢 Entreprise :
📍 Lieu : Philippines
💼 Intitulé du poste : Senior Data Engineer – Remote
💶 Rémunération proposée :
📝 Description du poste : About Sleek Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs. We give Entrepreneurs time back to focus on what they love doing – growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space. We operate 3 business segments: Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with :5% market share of all new business incorporations Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service FinTech payments: Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 450 staff with an intact startup mindset. We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Singapore. About The Role We are looking for an experienced Senior Data Engineer to join our growing team. As a key member of our data team, you will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven decision-making across the organization. This role is ideal for a proactive, detail-oriented individual passionate about optimizing and leveraging data for impactful business outcomes. Mission: Work closely with cross-functional teams to translate our business vision into impactful data solutions Drive the alignment of data architecture requirements with strategic goals, ensuring each solution not only meets analytical needs but also advances our core objectives 3, Be pivotal in bridging the gap between business insights and technical execution by tackling complex challenges in data integration, modeling, and security, and by setting the stage for exceptional data performance and insights. Shape the data roadmap, influence design decisions, and empower our team to deliver innovative, scalable, high-quality data solutions every day Outcomes: Achieve and maintain a data accuracy rate of at least 99% for all business-critical dashboards by start of day (accounting for corrections and job failures), with a 24-business hour detection of error and 5-day correction SLA 95% of data on dashboards originates from technical data pipelines to mitigate data drift Set up strategic dashboards based on Business Needs which are robust, scalable, easy and quick to operate and maintain Reduce costs of data warehousing and pipelines by 30%, then maintaining costs as data needs grow Achieve 50 eNPS on data services (e.g. dashboards) from key business stakeholders Requirements Data Pipeline Development: Design, implement, and optimize robust, scalable ETL/ELT pipelines to process large volumes of structured and unstructured data Data Modeling: Develop and maintain conceptual, logical, and physical data models to support analytics and reporting requirements Infrastructure Management: Architect, deploy, and maintain cloud-based data platforms (e.g., AWS, GCP) Collaboration: Work closely with data analysts, business owners, and stakeholders to understand data requirements and deliver reliable solutions, including designing and implementing robust, efficient and scalable data visualization on Tableau or LookerStudio Data Governance: Ensure data quality, consistency, and security through robust validation and monitoring frameworks Performance Optimization: Monitor, troubleshoot, and optimize the performance of data systems and pipelines Innovation: Stay up to date with the latest industry trends and emerging technologies to continuously improve data engineering practices Skills & Qualifications Experience: 5+ years in data engineering, software engineering, or a related field Technical Proficiency: Proficiency in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Familiarity with big data frameworks like Hadoop, Hive, Spark, Airflow, BigQuery, etc Strong expertise in programming languages such as Python, NodeJS, SQL etc Cloud Platforms: Advanced knowledge of cloud platforms (AWS, or GCP) and their associated data services Data Warehousing: Expertise in modern data warehouses like BigQuery, Snowflake or Redshift, etc Tools & Frameworks: Expertise in version control systems (e.g., Git), CI/CD, JIRA pipelines Big Data Ecosystems / BI : BigQuery, Tableau. LookerStudio Industry Domain Knowledge: Google Analytics (GA), Hubspot, Accounting/Compliance etc Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills Preferred Qualifications Degree in Computer Science, Engineering, or a related field Experience with real-time data streaming technologies (e.g., Kafka, Kinesis) Familiarity with machine learning pipelines and tools Knowledge of data security best practices and regulatory compliance About The Interview Process The successful candidate will participate in the below interview stages (note that the order might be different to what you read below). We anticipate the process to last no more than 3 weeks from start to finish. Whether the interviews are held over video call or in person will depend on your location and the role. Case study A :60 minute chat with the Data Analyst, where they will give you some real-life challenges that this role faces, and will ask for your approach to solving them. Career deep dive A :60 minute chat with the Hiring Manager (COO). They’ll discuss your last 1-2 roles to understand your experience in more detail. Behavioural fit assessment A :60 minute chat with our Head of HR or Head of Hiring, where they will dive into some of your recent work situations to understand how you think and work. Offer + reference interviews We’ll make a non-binding offer verbally or over email, followed by a couple of short phone or video calls with references that you provide to us. Requirement for background screening Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. This may include using external vendors to verify the below: Your education Any criminal history Any political exposure Any bankruptcy or adverse credit history We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation. By submitting a job application, you confirm that you have read and agree to our Data Privacy Statement for Candidates, found at sleek.com. Benefits Some other great things about working at Sleek… Humility and kindness: Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh. Kindness is also incredibly important. We are committed to creating and nurturing a diverse and inclusive environment. Flexibility: You’ll be able to work from home 2-3 days per week if you live in Singapore or Hong Kong, or 5 days per week if you’re fully remote. If you need to start early or start late to cater to your family or other needs, we don’t mind, so long as you get your work done and proactively communicate. You can also work fully remote from anywhere in the world for 1 month each year Financial benefits: We pay competitive market salaries and provide staff with generous paid time off and holiday schedules. Additionally, you’ll be able to access our flexi benefits scheme for home office equipment or health and fitness expenditure. Certain staff at Sleek are also eligible for our employee share ownership plan and can share in the upside of our stellar growth trajectory as we work toward listing on a prominent stock exchange in the Asia Pacific region. Personal growth: You’ll get a lot of responsibility and autonomy at Sleek – we move at a fast pace so you’ll be making decisions, making mistakes and learning. There’s also a range of internal and external facing training programmes we run. We’re also at the forefront of utilising AI in our space and are developing a regional centre of AI excellence. It is our intention that if you leave Sleek, you leave as a more well-rounded person and professional. Sleek is also a proudly certified B Corp. Since we started our journey in 2017, we’ve been committed to building Sleek as a force for good. In just over 5 years, we’ve joined a community of industry leaders like Patagonia, Ben & Jerry’s, and P&G who are building an inclusive, equitable, and a regenerative economy. We have planted over 29,271 trees to reforest our ecosystem and saved 7 tons of paper from landfills by processing over 1.4M pages through SleekSign. We aim to be Carbon Neutral by 2030.
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