London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Translate complex requirements into scalable BI solutions, primarily using Power BI Essential Requirements Product Management experience focused on BI and internal data tools Technical experience with: Cloudplatform (AWS, GCP or Azure) SQL (intermediate to advanced) Python (some experience required) Visualisation tools (Tableau, Looker, or Power BI) Interview Process Intro Conversation - with the Co-Founder (30-45 mins) Live Task More ❯
legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong communication skills for explaining technical concepts and engaging clients More ❯
pass through the system every second. You'll play a key role in developing a fully scalable platform, that can accommodate ever-changing customer demand, using technology such as GCP, Kafka, Kubernetes, and Gitlab. You'll have ownership of a core product domain, while also having a say in establishing best practices and key strategies. You will be responsible for More ❯
marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯
marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯
scalable and secure data systems in mobile gaming. Requirements: Strong experience with Python and SQL for data engineering and transformation. Deep understanding of cloud-based data architecture, particularly with GCP (BigQuery, Cloud Functions, Pub/Sub, etc.) or AWS equivalents. Hands-on experience with orchestration tools such as Airflow or DBT. 3+ years in data engineering, preferably including at least More ❯
Criteria 5+ years experience in Business Intelligence Experience as a Business Intelligence Developer/BI Engineer/Data Analyst or similar Expertise in Looker (or similar BI platform) and GCP or similar cloudplatform You use SQL in your day-to-day work. This is incredibly important Strong analytical skills and ability to derive insights from complex data sets Proven More ❯
skills which could include modern solution design, Target operating models, Solution Estimation and Planning or Architecture Governance (ideally in an Agile context) Experience of cloud computing platforms, eg, AWS, GCP, Azure, and distributed computing environments deployed for realizing insurance specific solutions. A strong technical background with demonstrable expertise in applying the same in multiple solutions within the insurance domain. Experience More ❯
statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example GoogleCloudPlatform Version control management Ability to work efficiently without compromising quality Effective communication and data storytelling skills Collaborative mindset and passion for sharing knowledge Charlotte Tilbury is a fast-paced More ❯
through to production Strong ownership mindset and ability to work independently Excellent communication skills across technical and non-technical stakeholders Experience designing systems in modern cloud environments (e.g. AWS, GCP) Technologies and Tools Python ML and MLOps tooling (e.g. SageMaker, Databricks, TFServing, MLflow) Common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow) Spark and Databricks AWS services (e.g. IAM, S3, Redis More ❯
which you will be part of. Our tech stack: Languages: TypeScript, Javascript Libraries and frameworks: gRPC, Redux, React Native, React, Next.js Datastores: Vitess, MySQL, CockroachDB, BigQuery, Redis Infrastructure: GoogleCloudPlatform, Kubernetes, Docker, PubSub, Terraform Monitoring: Grafana, Prometheus, Sentry, Metabase About you: You are a frontend developer with at least 5 years' experience You are fast and love to deliver More ❯
with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloudplatform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from More ❯
customer expectations effectively, ensuring a positive support experience. Bonus Points CloudPlatform Experience: Experience working with and supporting applications deployed on major cloud platforms such as AWS, Azure, or GCP is highly desirable. Advanced Linux Administration Skills: Familiarity with Linux system administration tasks, including package management, service configuration, performance monitoring, and basic scripting, is a significant advantage. Containerization Technologies: Experience More ❯
product development lifecycles. Excellent analytical, communication, stakeholder management, project, problem-solving and leadership skills. Strong understanding of enterprise systems, digital transformation, systems and process improvement. cloud platforms (AWS, Azure, GCP), APIs, and microservices. Familiarity with tools like Salesforce, Oracle, SAP, MS Power Platform, or similar. Certification in Agile, PMP, Six Sigma, or similar is a plus. Why Join Us? Work More ❯
machine learning techniques and libraries (e.g., regression, classification, clustering, neural networks). Solid understanding of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field Profile and Skills Comfortable in fast-paced, entrepreneurial environment Strong More ❯
least 4+ years of server-side software development experience in languages such asPython, Java, Scala, or Go. - Experience withBig Datatechnologies likeSpark, Databricks,andAirflow. - Familiarity with cloud environments such asAWSor GCP and containerization technologies likeDockerandKubernetes. - Strong problem-solving skills and ability to learn new technologies quickly. - Excellent communication skills and ability to work in a team-oriented environment. Nice to Have More ❯
with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloudplatform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from More ❯
design and architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their ecosystems Familiarity with cloud technologies, providers (such as GCP, AWS, Azure) Familiarity with attack surface management is a plus Experience in customer-facing roles (internal or external) is a must Self-learner able to drive business outcomes independently Excellent More ❯
intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred) You will demonstrate More ❯
intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred) You will demonstrate More ❯
direction at scale Deep expertise in system architecture, distributed systems, and software design patterns Advanced programming skills in at least one language Strong experience with cloud platforms (AWS or GCP) and CI/CD pipelines Skilled in building scalable, secure, and testable codebases in production environments Familiarity with both SQL and NoSQL data stores, and when to use each Fluent More ❯
Expertise in database technologies such as PostgreSQL , Snowflake , Elasticsearch , and S3 . 4+ years of experience in backend development. Deep understanding of at least one leading cloud provider ( AWS , GCP , or Azure ). Bonus Points Proficiency in Go programming. Background in building data collection systems. Experience in frontend development using modern frontend technologies. Our Tech Stack Go, React, AWS, Kubernetes More ❯
experience - ability to manage multiple projects and engagements Strong understanding of networking, firewalls, infrastructure, and security automation Experience with on-prem data centers, Kubernetes, and cloud security (AWS, Azure, GCP) Red Team & Purple Team knowledge is a massive advantage Vendor-agnostic mindset - we use a broad range of technologies Passion for homelabbing, hacking, and learning Budget: Open - looking for the More ❯
Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory Contributing to developing and maintaining cloud governance frameworks, policies, and procedures More ❯
Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory Contributing to developing and maintaining cloud governance frameworks, policies, and procedures More ❯
