London, South East, England, United Kingdom Hybrid / WFH Options
Oliver James
technology propositions aligned to client needs. Technical & Analytical Tools:Proficient in Microsoft Office, Jira, Confluence, Miro, and similar tools. Desirable experience with programming or scripting languages (e.g., Java, Python, SQL, HTML, JSON). Certifications (Preferred): Agile certifications (Scrum Master, Product Owner) Architecture frameworks (e.g. TOGAF) Cloud certifications (AWS, GCP, Azure) ITIL or other IT service management credentials Industry Awareness:Knowledge More ❯
updated on emerging technologies and techniques to apply to business challenges Share knowledge and promote a data-driven culture through training and documentation Essential Skills and Experience: Proficiency in SQL and Python Experience analyzing large, complex datasets, preferably cloud-based Knowledge of statistical and data science techniques (e.g., forecasting, regression, clustering) Experience with Data Visualization tools (Tableau preferred, Power BI More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity with BI tools (e.g. Tableau More ❯
updated on emerging technologies and apply them to business problems. Share knowledge and contribute to team and company growth through training and documentation. Essential Skills and Experience: Proficient in SQL and Python. Experience analyzing large, complex datasets, preferably cloud-based. Knowledge of statistical and data science techniques (forecasting, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power More ❯
are embedded in everything you build. What We're Looking For: 2+ years of experience in data engineering, analytics engineering, or a similar technical data role Advanced skills in SQL and Python Proven experience with cloud data warehousing platforms like Redshift, Databricks, BigQuery, or Snowflake Experience building and maintaining ELT pipelines using dbt in a production environment Strong understanding of More ❯
and to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a More ❯
in at least one of the specified programming languages (Python, Node.js, Kotlin or Java) and their associated frameworks. • Has a strong experience with database design and management, including both SQL (PostgreSQL or MySQL) and potentially NoSQL databases. • Has hands-on experience with RESTful API design and microservices architecture. • Demonstrates a strong understanding of security best practices and compliance standards like More ❯
in at least one of the specified programming languages (Python, Node.js, Kotlin or Java) and their associated frameworks. • Has a strong experience with database design and management, including both SQL (PostgreSQL or MySQL) and potentially NoSQL databases. • Has hands-on experience with RESTful API design and microservices architecture. • Demonstrates a strong understanding of security best practices and compliance standards like More ❯
junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity with BI tools (e.g. Tableau More ❯
data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. Good knowledge of DevOps practices and tools (e.g.: Git More ❯
design principles Understanding of modern build tools and workflows Backend Development Solid experience with Node.js and server-side JavaScript Knowledge of RESTful API design and development Experience with databases (SQL and NoSQL) Understanding of authentication and security best practices General 2-3 years of experience as a Software Engineer Version control with Git Experience with testing frameworks and methodologies Understanding More ❯
of internal and client operations. Work with cloud infrastructure (AWS, GCP). Collaborate with clients, architects, and engineers to meet goals. Proven experience with cloud-based data warehouses. Strong SQL and relational database skills (preferably Postgres); CDC experience is a bonus. Knowledge of data modeling (3NF, star schema, Data Vault). Experience with Python, TypeScript, or Java (Java learning expected More ❯
communication and collaboration skills to work effectively in a team environment. Familiarity with SAAS implementation and integration. Programming in one or more languages within our data ecosystem (e.g. Python, SQL). You rock at: Experience as a Solutions Architect and Data Engineer. Proficiency in data warehousing concepts and multidimensional data modelling techniques. Strong understanding of data management principles, data governance More ❯
and priorities in a challenging start-up environment. You have a curious mind and love problem-solving. We are looking for candidates who have Demonstrable, in-depth experience with SQL, particularly in BigQuery and PostgreSQL. Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs. Proficiency in Python for data manipulation, scripting, or automation tasks. Are More ❯
you will need some of the below to succeed in this role: Proven experience with production-grade ETLs, data warehousing, and robust data modelling. You are highly proficient in SQL and deeply understand Snowflake architecture. You enjoy partnering with analysts, engineers, and product teams to deliver value quickly and iteratively. Demonstrated experience building data infrastructure and platforms from scratch in More ❯
You 3-5+ years in a data analytics/data science role, ideally focused on marketing, product, or growth. 3-5+ years experience with data querying languages (SQL). Direct, hands-on experience analysing performance data within digital marketing platforms , especially Google and Meta Ads. A proven track record of using data to drive tangible business outcomes , such More ❯
reviewing our use of Looker Studio and therefore candidates who have also used Looker and LookML will be preferred. Expert level hands-on experience pulling and manipulating data using SQL or similar Experience with modern cloud data platforms such as BigQuery, Fabric, Snowflake Strong grasp of ETL/ELT principles, patterns and best practices Understanding of data modelling, Kimball Star More ❯
Experience working with cloud data warehouses. Added bonus Proficiency in dbt. Skills in Python/R. Experience with Fivetran, Prefect, Snowflake, and Periscope. Familiarity with writing ETL pipelines using SQL and Python, and orchestration tools like Airflow or Prefect. Background in experimentation. Experience in fast-paced, venture-backed startup environments. At Fresha, we value passion and potential as much as More ❯
both business leaders and technical teams Direct experience working with social and digital platforms such as Meta, Amazon, Google to onboard datasets an advantage Proficiency working with data in SQL and Python (Pandas, NumPy preferred) Knowledge of statistical testing methodologies Experience with BI tools (Tableau, PowerBI preferred) Experience with cloud computing services & solutions (AWS, Azure, GCP, Amazon Marketing Cloud, Snowflake More ❯
/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML detection, or operations Advanced proficiency in SQL and experience working with large, complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data More ❯
data analytics Are experienced with data, BI or analytics engineering practices Are experienced in designing, building, and maintaining data pipelines using streaming or CDC events. Have expert knowledge of SQL Have hands on experience working in the AWS technology stack Excited about working in a rapidly growing fintech that will throw you in at the deep end, and where your More ❯
Confident user of MSTeams Proficient in business process modelling tools such as Microsoft Visio or similar Able to conduct simple data modelling Comfortable using data analysis tools like Excel, SQL, or specialised software like Tableau or Power BI Familiarity with project management software (e.g., MS Project, Jira) and collaboration tools such as MS Practical experience in Business Analysis roles, preferably More ❯
with cloud and linux environments (AWS a plus) Understanding and/or experience with and parsing different data formats (JSON, XML, etc) Understanding and/or experience with ETL, SQL Previous work in Customer and/or Employee Experience software and systems, including pre or post-sales support Bachelor's Degree (not required as equivalent work experience may also qualify More ❯
production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching Mindset: Passionate about More ❯
