My engineering experience taught me to value the human factor, something I take with me to the Pentasia team.
A trust-based relationship forms the basis of the most productive conversations, that lead to successful outcomes for both candidate and client alike.
My client, a digital marketing company specializing in affiliate marketing and performance-based advertising, is looking for a Data Expert to join their team remotely. As a Data Expert, you will play a crucial role in building a robust and scalable data infrastructure from scratch and setting up a comprehensive system to manage and analyse data effectively. This position requires expertise like that of a Data Architect, with a focus on designing and implementing data solutions specific to the needs of an affiliate marketing company. Responsibilities: Design and develop a data infrastructure that can support the collection, storage, processing, and analysis of large volumes of data in an affiliate marketing context. Set up a proper data management system, ensuring data quality, integrity, and security. Develop data pipelines to automate data ingestion, transformation, and loading processes. Design and implement a scalable database schema that aligns with the company's requirements, ensuring efficient data retrieval and querying. Establish and enforce data governance practices, including data standards, data privacy, and compliance with relevant regulations. Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks to ensure optimal data processing and analysis. Collaborate with stakeholders to define data requirements and develop reporting frameworks that provide actionable insights for business decision-making. Work closely with cross-functional teams, including marketing, operations, and IT, to understand their data needs and provide technical support and guidance. Requirements: Previous Experience: Proven experience in a similar role as a Data Expert or Data Architect, preferably within an affiliate marketing company. Expertise in building scalable data infrastructures and setting up data management systems from scratch. Proficiency in data modelling techniques and tools, ensuring data models align with business requirements and facilitate efficient analysis. Strong analytical skills and the ability to translate business requirements into technical data solutions. Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders. Proven ability to work independently and effectively in a remote work environment, managing time and priorities efficiently.
My client, a leading game developer in the iGaming industry, is looking for Senior Sportsbook Analyst to join their team remotely. In this role you will be working with the BI team on the analysis and product monitoring, understanding market behaviour, customer assessment, tracking of KPIs, and creation of supporting dashboards. Main responsibilities: Develop reporting & analysis for the sportsbook operations and trading teams to help identify areas of improvement Perform data analysis and summarise insights to key business stakeholders. Analysis on market performance, marketing spend, odds and margin analysis, customer segments and player profitability, sportsbook promotions, trading performance etc. Set up and own analytics tools and reporting capabilities - build dashboards, automations, and other visualization tools to drive decision making Experience coordinating with data warehouse and cross-functional teams Works closely with Sportsbook Operations and Trading teams to help create a best-in-class experience for our customers - driven by data, user research, and competitor analysis Coach and mentor junior team members Desired experience: 3+ years of experience within iGaming in particular Sportsbook analytics Knowledge of sports betting and the current competitive industry landscape Good understanding of standard sports betting trading processes, bookmaking, odds, and probabilities Strong analytical skills with the ability to translate data and visualizations into insights Highly proficient in SQL and data modelling, experience in Python is desirable Extensive experience in Google Analytics and data visualization tools (Power BI, Tableau) if this does sound interesting to you apply and let's have a chat.
My client, a leading game developer in the iGaming industry, is looking for a BI Analyst to join their team remotely. Main Responsibilities: Utilize advanced data analysis techniques to collect, analyse, and interpret complex data sets from diverse sources, identifying patterns and opportunities. Provide insightful recommendations to both internal teams and clients. Collaborate with the data warehouse team to design, develop, and optimize data models that enable efficient reporting and analysis. Develop and maintain reports and dashboards using Tableau and/or Power BI, delivering actionable insights to internal stakeholders and clients. Work closely with stakeholders to understand their reporting requirements and transform them into effective data visualizations and reports. Collaborate with external clients to comprehend their reporting needs and provide tailored solutions. Stay up to date with industry trends and best practices in business intelligence (BI) and data visualization techniques, continuously enhancing reporting capabilities and delivering innovative solutions. Desired experience and skillset: 3+ years of experience as a Business Intelligence Analyst (or similar role) 2+ years iGaming experience. Tableau or Power BI. Strong SQL skills. Ability to write complex queries for data analysis & manipulation. Understanding of data modelling concepts and data warehouse architecture. Nice to have: Google Analytics & Python If this sounds interesting to you apply and let's have a chat.
Taking accountability for team delivery, you will serve as a leader to enhance productivity and foster a culture of collaboration and communication within and between teams. We seek versatile engineers who are passionate about mentoring and thrive on embracing new challenges. Our engineers maintain a product-oriented approach and embrace a growth mindset. Main responsibilities : Assume responsibility for software delivery within a squad. Lead prioritization efforts and provide mentorship to others and coach engineers to grow professionally. Collaborate closely with product owners, leaders, and engineers to develop the best possible product for our customers. Coordinate release activities, including clear and detailed plans or checklists for testing and roll-out. Desired experience and skillset Hands-on people management experience. Experience as Data Analyst, Data Scientist or Data specialist. Technical Knowledge (Python, SQL, Machine learning, OBIEE...) Hybrid working model, combining home office and 2 days of working in the office (Sevilla). The company offers a complete relocation package. Additionally, they have an amazing benefit package on top of the base salary.
My client, a company focused on Machine Learning, Artificial Intelligence and Blockchain technologies, is looking for a skilled Tech Lead to join their team remotely. The company is dedicated to attracting the best talent available and is committed to providing highly competitive compensation packages. As a Technical Lead you will play a crucial role in shaping the team's technical direction, ensuring alignment between the team's strategy and the company's overall strategy, and spearheading cross-functional initiatives to successful completion. Main Responsibilities: • Lead the technical team to perform Proof of Concept (PoC) on solutions and components. • Lead the technical best practices and principles on data APIs and Microservices architecture. • Building efficient and reusable backend components and architecting reliable, performant, and scalable data solutions • Deliver the overall technical solution for data APIs and Microservices with related platforms and areas. • Explore the suitable technology stack for the API and Microservice architecture. • Work with project managers to support project plans and correct resource and time allocation. • Work with the development lead and oversee the technical work. Desired experience and skillset: • 5+ years of scaleup/enterprise technical design experience on Cloud and Microservice architecture. • 7+ years of application development / technical implementation experience. • Strong "can-do" attitude. • Experience in digital transformation, transforming from Monolithic to Microservice application. o Python o Cloud-based docker platform (ECS/Kubernetes) o Kafka (or RMQ, Apache Pulsar) o REST/GraphQL o NoSQL (E.g. MongoDB) o RDBMS and SQL (E.g. MySQL)
My client, a growing company focused on the use of data to benefit e-commerce operations, is currently looking for a highly skilled Lead Data Engineer to join their team in Tallinn, Estonia. This is a great opportunity to join a dynamic and innovative company that values creativity and collaboration. A forward-thinking organization that prioritizes growth, both personally and professionally were you will work with the latest technologies in a superior working environment. The client offers a competitive compensation & benefit package & will assist with relocation and visa application. Main responsabilities: As a Lead Data Engineer, you'll be responsible for people management, project communication, code review, technical discussions, and occasional hands-on work for small PoCs or critical fixes. There will be a dedicated team of DataOps Engineers available to assist with infrastructure setup or changes so you can focus on your primary role of leading your team to success. Desired experience and skillset: We are looking for someone who is familiar with Cloud Data Solutions, services such as Cloud Run, Cloud Functions, VMs, network services (high-level understanding of such terms as Static IP, Load Balancer, VPC etc), Pub/Sub, BigQuery, Snowflake, dbt, Airflow. The tech stack is mainly GCP. The preferred programming language is Python. Expert-level SQL is a must. Managing teams of at least 4 people in the past. Familiarity with query optimisation and cloud cost management. Excellent communication skills (English). If this sounds interesting to you apply and let's have a chat!
My client, a growing company focused on the use of data to benefit e-commerce operations, is looking for a Data Engineer to join their talented data team in Tallin. The client offers a competitive compensation & benefit package & will assist with relocation and visa application. Main responsibilities: Design, develop, validate, and maintain robust data solutions. Perform development tasks involving the creation of complex ETL jobs, SQL queries, and API calls across multiple data sources. Build and manage highly efficient and reliable data pipelines, both batch and real-time, integrating data from various sources such as databases, Kafka, 3rd party tools, and APIs. Take a proactive role in advancing data infrastructure by developing and implementing the underlying logic and structure for data setup, cleansing, and storage. Architect, launch, and oversee automated extraction and transformation processes, including dedicated projects that showcase creativity and expertise. Desired experience and skillset: Knowledge of BI and DWH concepts and principles Proficient in working with SQL/NoSQL databases Hands-on experience with Snowflake Good knowledge of SQL language Experience working with any scripting language (Python pref.) Willingness to learn new Data modern stack-related tools and technologies English Next steps: Apply with your CV and we will contact you soon!
My client, a leading payment service provider, is looking for an experienced Senior Android Developer to join their dynamic IT team in Bulgaria. You can work fully remote or go to the office to do hybrid work if you want. Main Responsibilities: • Work collaboratively as part of an agile and cross-functional team. • Work closely with all development teams responsible for the mobile applications and their backend. • Lead and participate in the design, development, maintenance, and delivery process of our Android apps. • Help drive technical competency in the Android engineering area. Desired experience: • 6+ years of software engineering experience, with 4+ years of mobile experience (Android or iOS). • Excellent knowledge of the Android SDK and related tools. • Strong expertise in Java or Kotlin, object-oriented programming, and design patterns. • Strong expertise in Android UI/UX design principles. • Good knowledge of data persistence, networking, security, web services in a mobile environment. • Experience with APIs and client-server application models. • Experience in TDD or BDD. Nice to have but not a must: • Experience with Kotlin. • Knowledge of mPOS. If this sounds interesting to you apply and let's have a chat!