a similar role within the Public Sector is essential, with housing sector experience highly desirable. Strong technical expertise with MS Azure Data Warehousing (Data Lake, Data Factory, Synapse, Databricks), SQL, Power BI, and other visualisation tools. Experience delivering large, cross-functional data projects in a corporate setting. Excellent communicator, able to translate technical detail into clear business insight. Strong leadership More ❯
Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. Proficient in Terraform, YAML, and GitLab for environment management. Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). Proven ability More ❯
. Experience with tools and services such as: Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of data models … Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product deployment. Excellent communication and presentation skills to convey insights to More ❯
and structured career development. Key Responsibilities Lead technical delivery of Snowflake based data engineering projects for enterprise clients. Design, build, and optimise scalable data pipelines and architectures using Python, SQL, and Snowflake tools such as Snowpipe, Snowpark, Tasks, and UDFs. Collaborate with various teams to turn business requirements into robust, scalable data solutions. Provide mentorship and line management to the … ll Bring 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation More ❯
sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing and visualization. Strategy & Stakeholder Engagement Provide subject matter expertise in data governance and AI governance. Collaborate with business, data, and tech … exposure. Familiarity with trade lifecycle, pricing, and capital markets processes. Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to More ❯
lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure More ❯
product decisions and overall company culture. Build fast, ship often, learn and iterate. Tech Stack TypeScript across frontend, backend and infrastructure. Rust where performance matters - nice to have requirement SQL as the backbone for data. Modern tooling, monorepo, and a pragmatic engineering approach. Why Join Early impact: join a 3-person team at the earliest stage. High ownership: shape the More ❯
A fashion retailer is seeking an experienced IT project manager to lead supply chain management (SCM) application operations within the European market. You will work closely with the merchandising and IT teams. This role involves defining system requirements, analysing supply More ❯
years in a lead or technical decision-making role. Are fluent in the modern data stack: DBT, BigQuery, Airflow, Terraform, GCP or AWS. Bring strong software engineering skills: Python, SQL, CI/CD, DevOps mindset. Understand data warehousing, ETL/ELT, orchestration, and streaming pipelines. Thrive in cross-functional product squads and collaborative work. If you are interested in this More ❯
T-SQL Data Engineer - SSIS T-SQL Data Engineer is required by a global financial services business within their London office. This is a permanent role offering a salary of £50,000 - £60,000, plus bonus and benefits, working hybrid 3 days in office. This role sits within the data warehouse team, a key function supporting trading data, regulatory reporting … and enterprise-wide analytics. This role requires a SQL Server Data Engineer who will write complex T-SQL, build and maintain SSIS packages, and deliver impactful Power BI reports. You'll play a vital role in optimising the existing data stack, integrating new sources, and enhancing reporting across the business. Key requirements: Extensive T-SQL and SSIS experience. Proven experience … successful Data Engineer to work within a growing financial markets brand. If you meet the above skills and experience and would like to hear more, please apply today. T-SQL Data Engineer - SSIS Kite Human Capital - Hire Better We are unashamedly focused on working with only the best people, who care about customer value and maintain a fantastic working reputation. More ❯
data products Mentor junior engineers and contribute to engineering best practices Required Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding More ❯
backend skills You also have frontend development experience with React and/or TypeScript You have Azure cloud experience You have a data centric mindset, ideally with Snowflake and SQL experience, Python would also be great but bot essential You're collaborative with great communication and problem solving skills, you're comfortable mentoring and supporting more junior engineers on the More ❯
ClickHouse Enigneer SQL to ClickHouse Migration Energy Trading Up to £800/day Inside IR35 Hybrid London (2-3 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform - migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets … focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. You'll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. This system will be built in C# .NET, but the real focus of the role … the right tech. ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency trading data. Collaborate with traders, quants, and data analysts to ensure More ❯
monitoring. Build trusted relationships with stakeholders across business, QA, infrastructure, and security teams. About You Proven experience in server-side software development with Java 11+ and practical knowledge of SQL (DB2, SQL Server, or Postgres). Strong understanding of design patterns, microservices architecture, RESTful APIs . Some capability in front-end development (JavaScript, React, Node.js, HTML, CSS). Comfortable working More ❯
governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with More ❯
and profitability. What You'll Do Own Tembo's data strategy end-to-end - infrastructure, governance, insight, and activation Design and build data pipelines and architecture (from Postgres, MS SQL, Customer.io, Mixpanel, etc.) into a unified warehouse/lake Quantify product success: partner with product managers to define metrics, measure experiments, and uncover user behaviour patterns Enable marketing activation: identify … and grow a small team over time About you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth - able More ❯
Driven Design. o Architect and implement database modernization strategies, including migration from Oracle Exadata/ExaCC to PostgreSQL or other cloud-native databases. o Modernize legacy components (PL/SQL, Pro C) to modern languages and frameworks. • Cloud Architecture & DevSecOps o Design and deploy scalable, secure, and cost-optimised solutions on Microsoft Azure, following the Well-Architected Framework. o Define More ❯
mornings and late nights from time to time. Desirable: Database management. Experience with Salesforce; Including automation, troubleshooting and configuration. Experience with Zapier, Airtable, Wrike, Miro and Slack. Understanding of SQL or Querying data. Experience with project and task management. Understanding of SSO, MDM and Identity Access solutions. Experience with SaaS support environments. Familiarity with ITIL or similar support frameworks. Previous More ❯
EU Pillar 1 PRA Reporting, COREP Own Funds, Leverage Ratio, Large Exposures, FRTB, Bank of England Statistical reporting). Proven experience in data analysis and mapping data between systems. SQL queries Good communication skills Salary: Up to £100,000 + bonus + package Location: London (good work from home options available) If you are interested in this Technical Business Analyst More ❯
Migration of Legacy VM based estates to SaaS and Cloud service platforms- Legacy tech to Azure knowledge and experience Technical infrastructure engineering level background, working on Windows Server, AD, SQL environments, Firewalls/SDWAN and Networks (WAN &/or LAN). Good management and people leadership skills is desirable. Enterprise level Infrastructure Management background is desirable. Excellent communication skills. Salary More ❯
a good fit if you Have strong experience with modern data engineering tools and patterns (DBT, BigQuery, Airflow, Terraform, GCP/AWS) Write high-quality software with Python and SQL Understand ETL/ELT, orchestration, warehousing, and streaming data flows Bring a DevOps mindset: CI/CD, automation, you build it, you run it Enjoy mentoring others and learning from More ❯
governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with More ❯
Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform More ❯
product decisions and overall company culture. Build fast, ship often, learn and iterate. Tech Stack TypeScript across frontend, backend and infrastructure. Rust where performance matters - nice to have requirement SQL as the backbone for data. Modern tooling, monorepo, and a pragmatic engineering approach. Why Join Early impact: join a 3-person team at the earliest stage. High ownership: shape the More ❯
X) to generate qualified pipeline. SEO & Web Performance : Lead keyword strategy, on-page optimisation, and landing page testing to increase traffic and conversion. Analytics & Funnel Reporting : Track KPIs like SQL conversion, and webinar performance to inform strategy. Cross-functional Collaboration : Work closely with content, product marketing, sales, and design to build cohesive, high-impact campaigns. About Aries Aries is a More ❯
