Software Developer - Omnula Platforms - London

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Write high-quality Python code for front-office Technology Systems.\n, • Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows.\n, • Create alignment with stakeholders, both technical and non-technical.\n, • Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develop secure high-quality production code, and review and debug code written by others\n, • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.\n, • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Add to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years applied experience\n, • Bachelor's Degree in Computer Science or equivalent \n, • In-depth knowledge of Capital Markets and Equity Market Microstructure\n, • Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. \n, • Advanced proficiency in Python.\n, • Strong analytical, quantitative and problem-solving skills.\n, • Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps.\n\n Preferred qualifications, capabilities, and skills \n\n • Hands on experience in Quantitative Trading and/or Market Analysis.\n, • Familiarity and prior experience on KDB/q will be beneficial.\n, • Knowledge of FIX, Market Data, Order Management Systems will be a strong plus.\n, • Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required.\n, • Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the Role: \n Wise is on a mission to create money without borders—making it instant, transparent, and eventually free. To support this rapid global growth, our Finance Squad ensures that our financial processes run in an efficient, scalable, and controlled manner. \n We are looking for a talented Senior Software Engineer II to join our Data Onboarding Team in London. In this role, you will be the driving force behind building, scaling, and optimizing the critical data pipelines on top of our Lakehouse (Trino + Iceberg) infrastructure following a strict Medallion Architecture (Bronze, Silver, Gold layers). You will build robust data pipelines that serve as the foundational bedrock for reporting and assurance across the entire Finance squad. \n The Finance Squad is responsible for steward-shipping the financial truth of Wise. The Data Onboarding team operates alongside Core Accounting, Finance Implementation, and Data & Assurance. Our team's mandate is to abstract product complexity and build reusable, domain-agnostic stream-enrichment pipelines. We handle high-throughput financial event data (processing hundreds of millions of events daily) to bridge the gap between immutable product events and audit-ready data structures. \n What will you be working on? \n Technical Leadership & Pipeline Engineering \n\n • \n Lakehouse Architecture: Design, build, and optimize robust end-to-end data pipelines on top of our Trino + Iceberg Lakehouse stack. \n • \n Medallion Implementation: Own the extraction, cleaning, and modeling layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics. \n • \n Stream Processing: Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain our data freshness SLAs. \n • \n Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance and double-entry validations) to catch data discrepancies before they reach financial reporting layers. \n\n Strategic Impact & Collaboration \n\n • \n Product & Stakeholder Alignment: Partner directly with finance controllers, analysts, product and engineering to turn complex corporate finance needs into production-ready data schemas. \n • \n Platform Alignment: Address data scaling constraints, structural technical debt, and compute optimizations to directly align infrastructure costs with Wise's financial targets. \n\n Mentorship & Engineering Excellence \n\n • Upskilling: Assist and coach mid-level/junior engineers within the team, performing thorough code and technical design reviews.\n\n Must Haves (Hard Skills) \n\n • \n Data Lakehouse Mastery: Proven experience building data infrastructure using Trino / Presto and open table formats like Apache Iceberg or Delta Lake. \n • \n Advanced Data Modeling: Deep expertise in Medallion Architecture patterns, Star Schemas, and processing semi-structured financial data logs (JSON/Avro). \n • \n Robust ETL/ELT Orchestration: Expert proficiency in data transformation engines (such as dbt) and scheduling tools (such as Airflow). \n • \n Stream/Message Queues: Solid understanding of event-driven architectures and streaming processing via Apache Kafka. \n • \n Strong Programming Foundations: Proficiency in Python, SQL, or an Object-Oriented language (Java/Scala). \n\n Nice to Haves \n\n • \n Experience operating data assets within a regulated SOX/PCAOB compliance environment. \n • \n Familiarity with cloud data warehouses (e.g., Snowflake) and cloud compute orchestration. \n • \n Prior domain exposure to financial flows, double-entry ledger systems, or accounting integrations. \n\n Soft Skills \n\n • \n A strong sense of long-term technical ownership. \n • \n Excellent communication skills with the ability to bridge technical engineering realities with financial analyst requirements. \n\n What We Offer / Selling Points \n\n • \n The rare opportunity to help engineer the core "Engine of Trust" for a fast-growing global fintech moving billions in cross-border volume. \n • \n A chance to work beyond isolated data pipelines, building reusable libraries and system-wide framework layers rather than bespoke, one-off fixes. \n • Direct interaction and collaboration with top-tier product minds, data platform engineers, and global financial stakeholders. \n \n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • Wise Tech Stack (2025 update)\n\n What do we offer: \n\n • Starting salary: £111k - £145k + RSUs\n, • Wise Benefits\n, • #LI-AB3 #LI-Hybrid\n, • \n Paved Paths: Create structured framework documentation and automated tooling to reduce onboarding friction for new data sources. \n • \n, • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • Wise Engineering - https://medium.com/wise-engineering \n \n\n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. \n \n The Role: \n We are looking for an experienced Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. \n You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. \n Requirements \n Key Responsibilities: \n\n • Develop Data Engineering solutions for our clients/projects \n, • Design and build data models, schemas to support business requirements\n, • Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.\n, • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.\n, • Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. \n, • Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc.\n\n \n Key Skills/Experience: \n\n • Experience in operating as part of data engineering teams and independently. \n, • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) \n, • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) \n, • You have framework experience within either Flask, Tornado or Django, Docker \n, • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n, • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\n, • Data acquisition and development of data sets and improving data quality \n, • Preparing data for predictive and prescriptive modelling \n, • Reporting tools (e.g. Tableau, PowerBI, Qlik) \n, • GDPR and Government Service Standard (desirable) \n, • Passionate, motivated and enthusiastic about developing technology solutions. \n, • Experience working in an Agile development environment\n\n Benefits \n Package and Benefits: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n \n Equality & Diversity: \n Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We’re looking for an Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. \n As an Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. \n Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! \n This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. \n THE ROLE \n We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. \n As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. \n Most importantly, you’ll collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management, to bring your insights into real change for our customers and help drive our mission! \n Here’s how you’ll be contributing: \n\n • \n Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands. \n • \n Data Pipeline Ownership. Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy. \n • \n Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. \n • \n Strategic Support and Analysis. Provide critical insights to assess the operational health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences. \n • \n Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes. \n • \n KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations. \n • \n Stakeholder Collaboration and Process Standardisation. Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment. \n\n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role \n We are looking for a senior software engineer with a background in stream processing. \n Our Stream Processing team is part of the Data Squad. \n We provide the tooling and infrastructure that allows Wise to process transfers in real time. Our stream processing platform enables services to do calculations and make decisions in milliseconds, powering our validation, fraud detection and anti money laundering checks. \n We also provide the services responsible for data movement into our data lake. This enables product teams and analysts to make data driven decisions. \n How we work \n We operate on a strong belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the platform tribe. \n As we grow the Stream Processing team, we need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence. \n What will you be working on? \n You’ll be working hands on designing, architecting, implementing and operating our systems on AWS. In addition, you will also help our product engineers use our tooling and systems, laying down best practises and rules. You should have a deep understanding of stream processing and the related technologies, being able to build and support the tooling to create pipelines that are used for real time decision making in the milliseconds range. Some of the technologies we use: \n\n • \n Apache Flink \n • \n Apache Iceberg \n • \n K8s operators \n • \n Kafka Streams \n\n What do you need? \n We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! \n\n • \n Experience with Flink and/or Kafka Streams \n • \n Experience building production code with Java and Spring. \n • \n Experience with infrastructure automation tools. \n • \n Experience building and operating distributed systems at scale. \n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87,500 - £111,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.