Data Engineer

Capital.com

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team.  As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure.   The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.

Asana

The Enterprise Data & Intelligence (EDI) team at Asana is tasked with building powerful decision-making data products, integrations, process automation tools, and analytical reports. We are looking for a driven Data Engineer to add to our growing team who will be fundamental to the company’s operations by supporting the data science, business and finance teams. You will accelerate the business by connecting systems and data seamlessly.  This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve * Build and deliver scalable data pipelines using modern cloud-based architectures, optimizing data reliability and performance. * Develop new API integrations to streamline and enhance data accessibility across business functions. * Collaborate with Data Science and Business teams to develop analytical solutions, unlocking actionable insights through data analysis, investigation, and visualization. * Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams. * Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution. * Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability. * Implement monitoring, alerts, and compliance controls to ensure data accuracy, availability, and security. * Be the go-to expert for data solutions and integrations, providing guidance and technical mentorship to team members. * Create accurate and clear technical documentation to standardize processes and enhance knowledge-sharing. About you * Degree in Computer Science, Engineering or equivalent technical field experience * 4+ years of hands-on experience in Data Engineering or Software Engineering. * Fluent in SQL and proficient in at least one programming language (e.g., Python, Java, Scala etc.) * Strong expertise in Databricks, AWS S3, Spark and Airflow * Knowledge of system and software engineering architecture principles, concepts, and best practices * Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively * Ability to handle high-impact stakeholders with professionalism and composure, even under pressure * Strong analytical and problem-solving skills with a proactive approach to issue resolution * Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders. * Demonstrable experience with data visualisation would be an advantage * Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer * Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.)  * Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers)  * Health insurance with dental and travel coverage (Lux Med)  * Lunch catering on the days that you work from the office * Career growth budget  * Home office setup budget  * Gym/Fitness reimbursement * Fertility healthcare and family-forming support with Carrot * Mental health support in Modern Health * Group life insurance * MacBooks with all necessary accessories For this role, the estimated base salary range is between 20,833 - 23,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs).  #LI-Hybrid  About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

The Dot Collective

ABOUT THE DOT COLLECTIVE We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact.  We work with all modern tech stacks and typically run agile scrum on all our projects. ABOUT YOU Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities:  * Strong SQL and Python skills   * Data modelling experience (dimensional, relational, or similar)   * Experience building and maintaining backend systems   * Familiarity with Microsoft Azure   * Understanding of APIs, containers, and backend development best practices  * Implementing cloud-native data platforms  * Engineering scalable and reliable pipelines  * Good knowledge of distributed computing with Spark  * Understanding of cloud architecture principles and best practices  * Hands-on experience in designing, deploying, and managing cloud resources  * Agile ways of working  * Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform  * Monitoring and performance tuning of cloud-based applications and services   Nice to haves:   * Experience with Snowflake, dbt, CubeJS  * Experience with Databricks, PySpark, ML workflows   * Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).   * Frontend development experience (React, Next.js, TypeScript)   * Infrastructure-as-code (Terraform, CloudFormation)  * Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance   * Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining    * ML Pipelines & CI/CD – Automate end-to-end ML workflows    Key tasks:     * Develop, maintain, and optimise backend services for our SaaS platform   * Work with SQL and Python daily to build robust data pipelines and transformations   * Model, structure, and query data to support product features and reporting   * Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)   * Implement backend APIs (FastAPI) to power our web application   * Work with our cloud environment (Azure - experience with AWS or GCP also valuable)   * Collaborate with teammates to plan, build, and deploy features in an Agile way  * Contribute to CI/CD workflows, monitoring, and infrastructure-as-code    We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.   OUR PROMISE TO YOU We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of experience and expertise to deliver the best outcomes for our clients — and teams you’ll enjoy working with. We are committed to prioritising the wellbeing of our employees. To fulfill this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture. We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn-out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.