in Python for data engineering tasks. Solid understanding of ELT pipelines, data architecture, and data modeling. Experience with modern data transformation tools such as dbt . Familiarity with AWS-based data pipeline services and cloud architecture. Comfortable working in agile teams and cross-functional environments. Knowledge of statistical concepts and More ❯
e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with cloud platforms such as Azure. Strong understanding of data modelling, data warehousing, and data architecture More ❯
test and scale innovations that drive measurable value. The Data Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma, etc.) Supporting web analytics, conversion funnels, and traffic segmentation Collaborating with business stakeholders to model meaningful metrics and enable self-service reporting Working More ❯
experience in writing complex queries to manipulate and extract insights from large datasets. Experience with ETL, rETL, IR tools and frameworks such as Airflow, dbt, FiveTran, Coalesce, HighTouch, Rudderstack, Snowplow, or similar. Strong analytical mindset with a focus on data accuracy, troubleshooting, and resolving complex data issues. Ability to communicate More ❯
with both technical and business teams to elicit requirements and understand the business. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Experience with AWS Services. Good communication and stakeholder management skills. Ability to communicate with both business and technical colleagues at all levels. Knowledge More ❯
ideally Delta Lake on Databricks or similar) Deep expertise in workflow orchestration using Airflow, with production-grade DAGs and solid dependency management, knowledge of dbt is preferable Strong background in building reliable, scalable batch and streaming pipelines using Spark (ideally Scala) Python and SQL Hands-on experience implementing data quality More ❯
environment Drive continuous improvements to architecture, infrastructure, and workflow automation Core Tech Stack: Must-have : Google Cloud Platform (GCP), Apache Airflow Nice-to-have : dbt, Terraform, Kubernetes Bonus : Familiarity or curiosity about generative AI tools (e.g. ChatGPT) Ideal Candidate: 4+ Years experience in a Data/Platform engineering role Proven More ❯
requirement for a Principal Data Engineer to spearhead an exciting new project for them, ideally with good knowledge of: Data Warehousing (Snowflake) Data Pipelines (DBT, Kafka) Programming (Python) Relational Databases (SQL, PostgreSQL, LookML) Data Visualisation (Looker) DevOps (Docker, K8s, Terraform) But most importantly they are looking for individuals with an More ❯
Objectives Develop and design reports and dashboards in Tableau Update existing dashboards as part of Data Warehouse migration Data cleansing, preparation and modelling using DBT or AWS Athena Requirement gathering and translating to business needs Cloud Infrastructure knowledge will be a big advantage for this role. Experience of managing IT More ❯
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
City of London, Greater London, UK Hybrid / WFH Options
Realtime Recruitment
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
Altrincham, Greater Manchester, UK Hybrid / WFH Options
Realtime Recruitment
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
Bolton, Greater Manchester, UK Hybrid / WFH Options
Realtime Recruitment
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
Leigh, Greater Manchester, UK Hybrid / WFH Options
Realtime Recruitment
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
Ashton-Under-Lyne, Greater Manchester, UK Hybrid / WFH Options
Realtime Recruitment
platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud dataMore ❯
Monitoring tools (Grafana, Prometheus, etc.) Mentoring and knowledge sharing within the team Senior Engineer - Desirable Skills: Experience in energy supply or trading Familiarity with dbt or modular analytics tooling Exposure to forecasting or optimisation workflows Knowledge of React or frontend tools for internal apps What they offer: A high-autonomy More ❯
also building reports in Tableau and enabling data-driven decision-making for optimised performance. Utilising your modern stack experience, you will model data using dbt, ensuring it’s set up for scalability and reporting needs. Advise and recommend different ways to improve data architecture and processes to improve reliability, dataMore ❯
with real-world application, continuously iterating and improving Tech Stack AI & Data : Python, LangChain, LlamaIndex, LangGraph Models : OpenAI, Anthropic, Gemini, Custom Models Data & Infrastructure : DBT, BigQuery, PostgreSQL, OpenSearch, Redis, AWS, Google Cloud Product Development : TypeScript (Full-stack) What We’re Looking For Proven experience delivering high-impact AI projects Ability More ❯
in an Analytics Engineer: • 3+ years’ experience as an Analytics Engineer in a fast-paced, data-intensive B2B SaaS environment. • Expertise in SQL/DBT and hands-on experience with modern data warehouses (Snowflake, Databricks, Redshift, etc.). • Proficiency in data modelling, ETL processes, and working with large datasets. • Familiarity More ❯
and delivery practices Continually improve with our internal development program, including mentoring and paid training/certifications Skills Data Modelling - SQLDBM Snowflake AWS Airflow DBT Note: Experience in the energy industry is highly advantageous. More ❯
