of data in the cloud Mentor junior engineers in their day to day work Design the long term strategy for several of our products MINIMUM QUALIFICATIONS: Extensive experience in Python (or other Object Oriented language) Experience building concurrent, scalable applications Working with RPC protocols such as gRPC/protobuf Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure) PREFERRED More ❯
Strong knowledge of relational databases (PostgreSQL, MySQL), including optimization, scalability, and high-throughput design. Familiarity with containerization (Docker) and orchestration (Kubernetes). Proficiency in backend languages like PHP, Node.js, Python, Go, or Ruby. Ability to learn and adapt to working with multiple programming languages and produce high-quality code. Passion for simplicity and great developer experience. Passion for open-source More ❯
one of these technologies. Snowflake, Kafka Mandatory: Minimum 1-2 years of strong hands-on experience in at least one of these technologies. Power BI, Confluent Cloud, Microsoft Fabric, Python/PySpark Nice to Have: Exposure or working knowledge in any of these technologies is a plus. MSBI (SSIS) Nice to Have: Experience or familiarity is beneficial. SQL & Data Lakes More ❯
Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with ability to move from ambiguity to structure Effective communication skills - you can explain technical results clearly to non-technical audiences Passion for the More ❯
user issues Provide operational and user-facing documentation We are looking for a Senior ML Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience designing cloud-native, distributed platforms Strong knowledge of Kubernetes, Argo, and container orchestration technologies Previous experience with modern CI/CD tools and GitOps workflows Familiarity with More ❯
user issues Provide operational and user-facing documentation We are looking for a Senior ML Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience designing cloud-native, distributed platforms Strong knowledge of Kubernetes, Argo, and container orchestration technologies Previous experience with modern CI/CD tools and GitOps workflows Familiarity with More ❯
at least 6+ years of experience in full-stack development with added experience in critical systems like payments, billing, or monetization. Skilled in server-side languages such as Node.js, Python, or Go, with a proven track record of implementing complex business logic. Familiarity with cloud platforms and containerization technologies like AWS and Docker Demonstrate a passion for delivering high-quality More ❯
at least 6+ years of experience in full-stack development with added experience in critical systems like checkout, payments, and integrations. Skilled in server-side languages such as Node.js, Python, or Go, with a proven track record of implementing complex business logic. Familiarity with cloud platforms and containerization technologies like AWS and Docker Demonstrate a passion for delivering high-quality More ❯
teams and product partners to align evaluation strategies with business needs. Requirements 5+ years' experience as an ML Engineer or Data Scientist 5+ years' experience writing production code in Python Experience using tools like Git, Docker, Kubernetes, CircleCI Experience productionising Generative AI workstreams or Agentic AI projects You know the fundamentals of Generative AI and have a good understanding of More ❯
team Your background: 7+ years experience building and developing backend applications Experience working on Growth Engineering teams Senior-level experience with one or more prominent languages such as Java, Python, Kotlin, Go, or Scala is nice to have. Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure). Fluency in any More ❯
advanced analytics trends and technologies, driving innovation within the organization Required technical and professional expertise Extensive experience with data engineering principles and advanced analytics techniques. Proficiency in programming languages (Python, R, SQL). Experience with data manipulation and analysis tools (Pandas, NumPy, Dask). Strong leadership and communication skills. Ability to lead cross-functional teams and manage stakeholder expectations As More ❯
solving a broad range of problems using your technical expertise Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience of coding (ideally Python) Experience with big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager More ❯
data literacy, preferably with experience as either Business Analyst, BI Analyst, Data Analyst or Process Analyst Strong Data Skills: SQL, spreadsheets, data visualisation/BI tools (e.g. Looker), and Python/R for more advanced analysis. Business Acumen: Understanding of business processes, financial concepts, macroeconomic trends, and industry-specific trends. Analytical Thinking: Ability to identify problems, ask the right questions More ❯
in recommendation and learning-to-rank, and stay current with emerging techniques. You are experienced in multivariate testing, mentoring junior scientists, and leading technical decisions. You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch ), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker). Accommodation requests If you need assistance More ❯
Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. Data Tools: Prior experience with tools such as Excel, SQL, Python, Azure, Splunk and WireShark are highly beneficial for this role. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting More ❯
consume allowing our customer coverage to scale Qualifications Your Experience Experience as a Security Incident Responder or SOC analyst/manager Experience with development and maintenance of scripts in Python JavaScript or PowerShell is a plus Experience with security design and architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their More ❯
supporting career growth within the team Proven experience with machine learning, LLMs, or other AI-driven systems including deploying, monitoring, and fine-tuning models in production Advanced proficiency in Python for data analysis, machine learning, and production-ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data More ❯
and integrity of data. Happy to contribute and share knowledge amongst their own team and Tes Engineering via knowledge sharing meetings. What You Need to Succeed Strong skills in Python and SQL Demonstrable hands-on experience in AWS cloud Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.). More ❯
consume allowing our customer coverage to scale Qualifications Your Experience Experience as a Security Incident Responder or SOC analyst/manager Experience with development and maintenance of scripts in Python JavaScript or PowerShell is a plus Experience with security design and architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their More ❯
Enjoy working with a diverse group of people with different areas of expertise. You are comfortably organized amongst chaos. Be familiar with our tech stack: TypeScript, React, styled-component Python PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytes AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI Next.js (Preferred) AR/VR (Preferred) Embrace differences and know that when we can More ❯
data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding of data privacy, consent management, and regulatory compliance. Excellent communication More ❯
decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google. Know More ❯
Qlik Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order More ❯
data modelling skills, including dimensional modelling and handling slowly changing dimensions. Strong CI/CD skills to automate the development lifecycle: proficiency with Github Actions preferred. Advanced proficiency in Python for data engineering tasks. Experience with data orchestration tools such as Airflow, Dagster, or similar. Solid understanding of data governance, security principles, and privacy best practices, ideally in regulated or More ❯
experience in a hands-on technical role, such as software engineering, data engineering, technical consulting, or data science. Strong programming proficiency in at least one general-purpose language (e.g., Python, Java, C++, Go). Top-tier consulting experience preferred with technical expertise. Proven ability to deconstruct complex, unstructured problems and design elegant, technical solutions. Exceptional communication and interpersonal skills, with More ❯
